From 58a9f91b2c52277d0015764b14d4fe8d748c4307 Mon Sep 17 00:00:00 2001
From: JenyCastro <126362635+JenyCastro@users.noreply.github.com>
Date: Sat, 28 Sep 2024 15:49:53 -0300
Subject: [PATCH 1/4] Update and rename nome-projeto.md to nome-projeto.md

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From 95e9f7880f4d6b7eaa7f0f376d22b30af6e24aad Mon Sep 17 00:00:00 2001
From: Jenifer <jenifersilva429@gmail.com>
Date: Sat, 5 Oct 2024 02:03:34 -0300
Subject: [PATCH 2/4] projeto

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 assets/README.md             |   36 +
 material/Projeto_Final.ipynb | 1206 ++++++++++++++++++++++++++++++++++
 material/mapbiomas.csv       |  118 ++++
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 create mode 100644 assets/README.md
 create mode 100644 material/Projeto_Final.ipynb
 create mode 100644 material/mapbiomas.csv

diff --git a/assets/README.md b/assets/README.md
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+# Projeto Final de Análise de Dados
+
+## Contexto  
+Este projeto consiste na análise **Temporal da cobertura de vegetação e agropecuria no Acre, Rondônia, Amazonas de 1985 até 2023**.  
+
+## Etapas do projeto:
+1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.]
+2. **Definir Objetivo e Perguntas**  [Estabelecer o objetivo e formular perguntas-chave com base nas variáveis disponíveis.]
+3. **Realizar Análise Exploratória**  [Identificar correlações, padrões e outliers nos dados.]
+4. **Gerar Base Final**  [Limpar e estruturar os dados para a visualização.]
+5. **Criar Visualizações no Tableau**  [Desenvolver gráficos que sintetizem os principais insights.]
+6. **Preparar Apresentação Final**  [Apresentar o tema, dados e visualizações de forma clara e objetiva.]
+
+---
+
+## Bases Escolhidas  
+- **Base 1**: [Mapbiomas é a principal base utilizada]
+
+### Objetivo Geral:
+O objetivo desse projeto é fazer uma análise temporal da perda de vegetação no Acre, Amazônia e Rondônia ao longo do tempo e o avanço e crescimento da agropecuria nesses territórios.  
+
+### As perguntas norteadoras deste projeto são:  
+1. Qual foi a quantidade de cobertura vegetal perdida em cada Estados? 
+2. Existe uma relação entre o avanço da Agropecuária e a perda de vegetação nesses territórios? 
+3. Qual foi a quantidade de área de vegetação ou área de agropecuária ganha ou perdida ao longo do tempo? Houve uma diferença significante?
+4. Em qual ano houve maior perda de vegetação? Qual ano houve maior avanço da Agropecuária? 
+
+---
+
+## Ferramentas Utilizadas  
+- **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.  
+- **Tableau**: Para criar as visualizações finais e apresentar os insights gerados.  
+- **GitHub**: Para versionamento do projeto e documentação.  
+- **Google Colab** (opcional): Para execução de notebooks de forma colaborativa e em nuvem.  
+
+
diff --git a/material/Projeto_Final.ipynb b/material/Projeto_Final.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('mapbiomas.csv', delimiter=';', encoding='latin1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\jenif\\OneDrive\\Área de Trabalho\\Aulas Reprograma\\Aula17\\on35-python-s17-s18-projeto-final\\material\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "print(os.getcwd())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Estados</th>\n",
+       "      <th>Ano</th>\n",
+       "      <th>Floresta</th>\n",
+       "      <th>Formação Florestal não Natural</th>\n",
+       "      <th>Agropecuária</th>\n",
+       "      <th>Área sem Vegetação</th>\n",
+       "      <th>Água e Ambientes Marinhos</th>\n",
+       "      <th>Não Observado</th>\n",
+       "      <th>Área Total do Território</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>15918508,29</td>\n",
+       "      <td>11922,92904</td>\n",
+       "      <td>402816,0969</td>\n",
+       "      <td>14638,38808</td>\n",
+       "      <td>50422,82587</td>\n",
+       "      <td>146,6513944</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1986</td>\n",
+       "      <td>15881885,29</td>\n",
+       "      <td>9850,676311</td>\n",
+       "      <td>437474,7958</td>\n",
+       "      <td>15349,86116</td>\n",
+       "      <td>53745,53548</td>\n",
+       "      <td>149,0280831</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>15838227,39</td>\n",
+       "      <td>9018,689428</td>\n",
+       "      <td>480835,9498</td>\n",
+       "      <td>15630,80237</td>\n",
+       "      <td>54589,016</td>\n",
+       "      <td>153,3344648</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1988</td>\n",
+       "      <td>15797524,44</td>\n",
+       "      <td>8686,99566</td>\n",
+       "      <td>520703,4497</td>\n",
+       "      <td>16005,41658</td>\n",
+       "      <td>55383,91165</td>\n",
+       "      <td>150,9717255</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>15755800,9</td>\n",
+       "      <td>8200,103747</td>\n",
+       "      <td>561748,7375</td>\n",
+       "      <td>16482,26265</td>\n",
+       "      <td>56073,35464</td>\n",
+       "      <td>149,8219251</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>13877352,63</td>\n",
+       "      <td>1011290,518</td>\n",
+       "      <td>8562130,624</td>\n",
+       "      <td>71275,86336</td>\n",
+       "      <td>241224,4048</td>\n",
+       "      <td>8,980761792</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>13715719,14</td>\n",
+       "      <td>1025097,828</td>\n",
+       "      <td>8720937,306</td>\n",
+       "      <td>72100,63356</td>\n",
+       "      <td>229418,2573</td>\n",
+       "      <td>9,86258656</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>13490404,85</td>\n",
+       "      <td>1031623,097</td>\n",
+       "      <td>8934740,963</td>\n",
+       "      <td>74098,56013</td>\n",
+       "      <td>232405,2638</td>\n",
+       "      <td>10,29367188</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2022</td>\n",
+       "      <td>13248533,18</td>\n",
+       "      <td>1000377,137</td>\n",
+       "      <td>9187011,254</td>\n",
+       "      <td>75704,06195</td>\n",
+       "      <td>251638,7489</td>\n",
+       "      <td>18,64172961</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>12966273,08</td>\n",
+       "      <td>1019635,625</td>\n",
+       "      <td>9444910,993</td>\n",
+       "      <td>83124,05088</td>\n",
+       "      <td>249319,2082</td>\n",
+       "      <td>20,06310344</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Estados   Ano     Floresta Formação Florestal não Natural   \\\n",
+       "0         Acre  1985  15918508,29                        11922,92904   \n",
+       "1         Acre  1986  15881885,29                        9850,676311   \n",
+       "2         Acre  1987  15838227,39                        9018,689428   \n",
+       "3         Acre  1988  15797524,44                         8686,99566   \n",
+       "4         Acre  1989   15755800,9                        8200,103747   \n",
+       "..         ...   ...          ...                                ...   \n",
+       "112  Rondônia  2019  13877352,63                        1011290,518   \n",
+       "113  Rondônia  2020  13715719,14                        1025097,828   \n",
+       "114  Rondônia  2021  13490404,85                        1031623,097   \n",
+       "115  Rondônia  2022  13248533,18                        1000377,137   \n",
+       "116  Rondônia  2023  12966273,08                        1019635,625   \n",
+       "\n",
+       "    Agropecuária Área sem Vegetação Água e Ambientes Marinhos  \\\n",
+       "0     402816,0969           14638,38808                50422,82587   \n",
+       "1     437474,7958           15349,86116                53745,53548   \n",
+       "2     480835,9498           15630,80237                  54589,016   \n",
+       "3     520703,4497           16005,41658                55383,91165   \n",
+       "4     561748,7375           16482,26265                56073,35464   \n",
+       "..            ...                   ...                        ...   \n",
+       "112   8562130,624           71275,86336                241224,4048   \n",
+       "113   8720937,306           72100,63356                229418,2573   \n",
+       "114   8934740,963           74098,56013                232405,2638   \n",
+       "115   9187011,254           75704,06195                251638,7489   \n",
+       "116   9444910,993           83124,05088                249319,2082   \n",
+       "\n",
+       "    Não Observado Área Total do Território  \n",
+       "0      146,6513944                16398455,19  \n",
+       "1      149,0280831                16398455,19  \n",
+       "2      153,3344648                16398455,19  \n",
+       "3      150,9717255                16398455,19  \n",
+       "4      149,8219251                16398455,19  \n",
+       "..             ...                        ...  \n",
+       "112    8,980761792                23763283,02  \n",
+       "113     9,86258656                23763283,02  \n",
+       "114    10,29367188                23763283,02  \n",
+       "115    18,64172961                23763283,02  \n",
+       "116    20,06310344                23763283,02  \n",
+       "\n",
+       "[117 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.columns = df.columns.str.replace('', '', regex=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.columns = df.columns.str.strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.columns = df.columns.str.replace('ç', 'ç').str.replace('ã', 'ã').str.replace('á', 'á').str.replace('Á', 'Á').str.replace('ó' , 'ó')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Estados</th>\n",
+       "      <th>Ano</th>\n",
+       "      <th>Floresta</th>\n",
+       "      <th>Formação Florestal não Natural</th>\n",
+       "      <th>Agropecuária</th>\n",
+       "      <th>Área sem Vegetação</th>\n",
+       "      <th>Água e Ambientes Marinhos</th>\n",
+       "      <th>Não Observado</th>\n",
+       "      <th>Área Total do Território</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>15918508,29</td>\n",
+       "      <td>11922,92904</td>\n",
+       "      <td>402816,0969</td>\n",
+       "      <td>14638,38808</td>\n",
+       "      <td>50422,82587</td>\n",
+       "      <td>146,6513944</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1986</td>\n",
+       "      <td>15881885,29</td>\n",
+       "      <td>9850,676311</td>\n",
+       "      <td>437474,7958</td>\n",
+       "      <td>15349,86116</td>\n",
+       "      <td>53745,53548</td>\n",
+       "      <td>149,0280831</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>15838227,39</td>\n",
+       "      <td>9018,689428</td>\n",
+       "      <td>480835,9498</td>\n",
+       "      <td>15630,80237</td>\n",
+       "      <td>54589,016</td>\n",
+       "      <td>153,3344648</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1988</td>\n",
+       "      <td>15797524,44</td>\n",
+       "      <td>8686,99566</td>\n",
+       "      <td>520703,4497</td>\n",
+       "      <td>16005,41658</td>\n",
+       "      <td>55383,91165</td>\n",
+       "      <td>150,9717255</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>15755800,9</td>\n",
+       "      <td>8200,103747</td>\n",
+       "      <td>561748,7375</td>\n",
+       "      <td>16482,26265</td>\n",
+       "      <td>56073,35464</td>\n",
+       "      <td>149,8219251</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>13877352,63</td>\n",
+       "      <td>1011290,518</td>\n",
+       "      <td>8562130,624</td>\n",
+       "      <td>71275,86336</td>\n",
+       "      <td>241224,4048</td>\n",
+       "      <td>8,980761792</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>13715719,14</td>\n",
+       "      <td>1025097,828</td>\n",
+       "      <td>8720937,306</td>\n",
+       "      <td>72100,63356</td>\n",
+       "      <td>229418,2573</td>\n",
+       "      <td>9,86258656</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>13490404,85</td>\n",
+       "      <td>1031623,097</td>\n",
+       "      <td>8934740,963</td>\n",
+       "      <td>74098,56013</td>\n",
+       "      <td>232405,2638</td>\n",
+       "      <td>10,29367188</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2022</td>\n",
+       "      <td>13248533,18</td>\n",
+       "      <td>1000377,137</td>\n",
+       "      <td>9187011,254</td>\n",
+       "      <td>75704,06195</td>\n",
+       "      <td>251638,7489</td>\n",
+       "      <td>18,64172961</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>12966273,08</td>\n",
+       "      <td>1019635,625</td>\n",
+       "      <td>9444910,993</td>\n",
+       "      <td>83124,05088</td>\n",
+       "      <td>249319,2082</td>\n",
+       "      <td>20,06310344</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Estados   Ano     Floresta Formação Florestal não Natural Agropecuária  \\\n",
+       "0         Acre  1985  15918508,29                    11922,92904  402816,0969   \n",
+       "1         Acre  1986  15881885,29                    9850,676311  437474,7958   \n",
+       "2         Acre  1987  15838227,39                    9018,689428  480835,9498   \n",
+       "3         Acre  1988  15797524,44                     8686,99566  520703,4497   \n",
+       "4         Acre  1989   15755800,9                    8200,103747  561748,7375   \n",
+       "..         ...   ...          ...                            ...          ...   \n",
+       "112  Rondônia  2019  13877352,63                    1011290,518  8562130,624   \n",
+       "113  Rondônia  2020  13715719,14                    1025097,828  8720937,306   \n",
+       "114  Rondônia  2021  13490404,85                    1031623,097  8934740,963   \n",
+       "115  Rondônia  2022  13248533,18                    1000377,137  9187011,254   \n",
+       "116  Rondônia  2023  12966273,08                    1019635,625  9444910,993   \n",
+       "\n",
+       "    Área sem Vegetação Água e Ambientes Marinhos Não Observado  \\\n",
+       "0          14638,38808               50422,82587   146,6513944   \n",
+       "1          15349,86116               53745,53548   149,0280831   \n",
+       "2          15630,80237                 54589,016   153,3344648   \n",
+       "3          16005,41658               55383,91165   150,9717255   \n",
+       "4          16482,26265               56073,35464   149,8219251   \n",
+       "..                 ...                       ...           ...   \n",
+       "112        71275,86336               241224,4048   8,980761792   \n",
+       "113        72100,63356               229418,2573    9,86258656   \n",
+       "114        74098,56013               232405,2638   10,29367188   \n",
+       "115        75704,06195               251638,7489   18,64172961   \n",
+       "116        83124,05088               249319,2082   20,06310344   \n",
+       "\n",
+       "    Área Total do Território  \n",
+       "0                16398455,19  \n",
+       "1                16398455,19  \n",
+       "2                16398455,19  \n",
+       "3                16398455,19  \n",
+       "4                16398455,19  \n",
+       "..                       ...  \n",
+       "112              23763283,02  \n",
+       "113              23763283,02  \n",
+       "114              23763283,02  \n",
+       "115              23763283,02  \n",
+       "116              23763283,02  \n",
+       "\n",
+       "[117 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Estados'] = df['Estados'].replace('Rondônia', 'Rondônia')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Estados</th>\n",
+       "      <th>Ano</th>\n",
+       "      <th>Floresta</th>\n",
+       "      <th>Formação Florestal não Natural</th>\n",
+       "      <th>Agropecuária</th>\n",
+       "      <th>Área sem Vegetação</th>\n",
+       "      <th>Água e Ambientes Marinhos</th>\n",
+       "      <th>Não Observado</th>\n",
+       "      <th>Área Total do Território</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>15918508,29</td>\n",
+       "      <td>11922,92904</td>\n",
+       "      <td>402816,0969</td>\n",
+       "      <td>14638,38808</td>\n",
+       "      <td>50422,82587</td>\n",
+       "      <td>146,6513944</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1986</td>\n",
+       "      <td>15881885,29</td>\n",
+       "      <td>9850,676311</td>\n",
+       "      <td>437474,7958</td>\n",
+       "      <td>15349,86116</td>\n",
+       "      <td>53745,53548</td>\n",
+       "      <td>149,0280831</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>15838227,39</td>\n",
+       "      <td>9018,689428</td>\n",
+       "      <td>480835,9498</td>\n",
+       "      <td>15630,80237</td>\n",
+       "      <td>54589,016</td>\n",
+       "      <td>153,3344648</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1988</td>\n",
+       "      <td>15797524,44</td>\n",
+       "      <td>8686,99566</td>\n",
+       "      <td>520703,4497</td>\n",
+       "      <td>16005,41658</td>\n",
+       "      <td>55383,91165</td>\n",
+       "      <td>150,9717255</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>15755800,9</td>\n",
+       "      <td>8200,103747</td>\n",
+       "      <td>561748,7375</td>\n",
+       "      <td>16482,26265</td>\n",
+       "      <td>56073,35464</td>\n",
+       "      <td>149,8219251</td>\n",
+       "      <td>16398455,19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>13877352,63</td>\n",
+       "      <td>1011290,518</td>\n",
+       "      <td>8562130,624</td>\n",
+       "      <td>71275,86336</td>\n",
+       "      <td>241224,4048</td>\n",
+       "      <td>8,980761792</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>13715719,14</td>\n",
+       "      <td>1025097,828</td>\n",
+       "      <td>8720937,306</td>\n",
+       "      <td>72100,63356</td>\n",
+       "      <td>229418,2573</td>\n",
+       "      <td>9,86258656</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>13490404,85</td>\n",
+       "      <td>1031623,097</td>\n",
+       "      <td>8934740,963</td>\n",
+       "      <td>74098,56013</td>\n",
+       "      <td>232405,2638</td>\n",
+       "      <td>10,29367188</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2022</td>\n",
+       "      <td>13248533,18</td>\n",
+       "      <td>1000377,137</td>\n",
+       "      <td>9187011,254</td>\n",
+       "      <td>75704,06195</td>\n",
+       "      <td>251638,7489</td>\n",
+       "      <td>18,64172961</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>12966273,08</td>\n",
+       "      <td>1019635,625</td>\n",
+       "      <td>9444910,993</td>\n",
+       "      <td>83124,05088</td>\n",
+       "      <td>249319,2082</td>\n",
+       "      <td>20,06310344</td>\n",
+       "      <td>23763283,02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Estados   Ano     Floresta Formação Florestal não Natural Agropecuária  \\\n",
+       "0        Acre  1985  15918508,29                    11922,92904  402816,0969   \n",
+       "1        Acre  1986  15881885,29                    9850,676311  437474,7958   \n",
+       "2        Acre  1987  15838227,39                    9018,689428  480835,9498   \n",
+       "3        Acre  1988  15797524,44                     8686,99566  520703,4497   \n",
+       "4        Acre  1989   15755800,9                    8200,103747  561748,7375   \n",
+       "..        ...   ...          ...                            ...          ...   \n",
+       "112  Rondônia  2019  13877352,63                    1011290,518  8562130,624   \n",
+       "113  Rondônia  2020  13715719,14                    1025097,828  8720937,306   \n",
+       "114  Rondônia  2021  13490404,85                    1031623,097  8934740,963   \n",
+       "115  Rondônia  2022  13248533,18                    1000377,137  9187011,254   \n",
+       "116  Rondônia  2023  12966273,08                    1019635,625  9444910,993   \n",
+       "\n",
+       "    Área sem Vegetação Água e Ambientes Marinhos Não Observado  \\\n",
+       "0          14638,38808               50422,82587   146,6513944   \n",
+       "1          15349,86116               53745,53548   149,0280831   \n",
+       "2          15630,80237                 54589,016   153,3344648   \n",
+       "3          16005,41658               55383,91165   150,9717255   \n",
+       "4          16482,26265               56073,35464   149,8219251   \n",
+       "..                 ...                       ...           ...   \n",
+       "112        71275,86336               241224,4048   8,980761792   \n",
+       "113        72100,63356               229418,2573    9,86258656   \n",
+       "114        74098,56013               232405,2638   10,29367188   \n",
+       "115        75704,06195               251638,7489   18,64172961   \n",
+       "116        83124,05088               249319,2082   20,06310344   \n",
+       "\n",
+       "    Área Total do Território  \n",
+       "0                16398455,19  \n",
+       "1                16398455,19  \n",
+       "2                16398455,19  \n",
+       "3                16398455,19  \n",
+       "4                16398455,19  \n",
+       "..                       ...  \n",
+       "112              23763283,02  \n",
+       "113              23763283,02  \n",
+       "114              23763283,02  \n",
+       "115              23763283,02  \n",
+       "116              23763283,02  \n",
+       "\n",
+       "[117 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for column in df.columns:\n",
+    "    if df[column].dtype == 'object' and column not in ['Ano', 'Estados']:\n",
+    "        df[column] = df[column].str.replace(',', '.').str.replace(' ', '').astype(float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Estados</th>\n",
+       "      <th>Ano</th>\n",
+       "      <th>Floresta</th>\n",
+       "      <th>Formação Florestal não Natural</th>\n",
+       "      <th>Agropecuária</th>\n",
+       "      <th>Área sem Vegetação</th>\n",
+       "      <th>Água e Ambientes Marinhos</th>\n",
+       "      <th>Não Observado</th>\n",
+       "      <th>Área Total do Território</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1985</td>\n",
+       "      <td>15918508.29</td>\n",
+       "      <td>1.192293e+04</td>\n",
+       "      <td>4.028161e+05</td>\n",
+       "      <td>14638.38808</td>\n",
+       "      <td>50422.82587</td>\n",
+       "      <td>146.651394</td>\n",
+       "      <td>16398455.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1986</td>\n",
+       "      <td>15881885.29</td>\n",
+       "      <td>9.850676e+03</td>\n",
+       "      <td>4.374748e+05</td>\n",
+       "      <td>15349.86116</td>\n",
+       "      <td>53745.53548</td>\n",
+       "      <td>149.028083</td>\n",
+       "      <td>16398455.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1987</td>\n",
+       "      <td>15838227.39</td>\n",
+       "      <td>9.018689e+03</td>\n",
+       "      <td>4.808359e+05</td>\n",
+       "      <td>15630.80237</td>\n",
+       "      <td>54589.01600</td>\n",
+       "      <td>153.334465</td>\n",
+       "      <td>16398455.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1988</td>\n",
+       "      <td>15797524.44</td>\n",
+       "      <td>8.686996e+03</td>\n",
+       "      <td>5.207034e+05</td>\n",
+       "      <td>16005.41658</td>\n",
+       "      <td>55383.91165</td>\n",
+       "      <td>150.971725</td>\n",
+       "      <td>16398455.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Acre</td>\n",
+       "      <td>1989</td>\n",
+       "      <td>15755800.90</td>\n",
+       "      <td>8.200104e+03</td>\n",
+       "      <td>5.617487e+05</td>\n",
+       "      <td>16482.26265</td>\n",
+       "      <td>56073.35464</td>\n",
+       "      <td>149.821925</td>\n",
+       "      <td>16398455.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>112</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>13877352.63</td>\n",
+       "      <td>1.011291e+06</td>\n",
+       "      <td>8.562131e+06</td>\n",
+       "      <td>71275.86336</td>\n",
+       "      <td>241224.40480</td>\n",
+       "      <td>8.980762</td>\n",
+       "      <td>23763283.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>113</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>13715719.14</td>\n",
+       "      <td>1.025098e+06</td>\n",
+       "      <td>8.720937e+06</td>\n",
+       "      <td>72100.63356</td>\n",
+       "      <td>229418.25730</td>\n",
+       "      <td>9.862587</td>\n",
+       "      <td>23763283.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2021</td>\n",
+       "      <td>13490404.85</td>\n",
+       "      <td>1.031623e+06</td>\n",
+       "      <td>8.934741e+06</td>\n",
+       "      <td>74098.56013</td>\n",
+       "      <td>232405.26380</td>\n",
+       "      <td>10.293672</td>\n",
+       "      <td>23763283.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>115</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2022</td>\n",
+       "      <td>13248533.18</td>\n",
+       "      <td>1.000377e+06</td>\n",
+       "      <td>9.187011e+06</td>\n",
+       "      <td>75704.06195</td>\n",
+       "      <td>251638.74890</td>\n",
+       "      <td>18.641730</td>\n",
+       "      <td>23763283.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>2023</td>\n",
+       "      <td>12966273.08</td>\n",
+       "      <td>1.019636e+06</td>\n",
+       "      <td>9.444911e+06</td>\n",
+       "      <td>83124.05088</td>\n",
+       "      <td>249319.20820</td>\n",
+       "      <td>20.063103</td>\n",
+       "      <td>23763283.02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Estados   Ano     Floresta  Formação Florestal não Natural  \\\n",
+       "0        Acre  1985  15918508.29                    1.192293e+04   \n",
+       "1        Acre  1986  15881885.29                    9.850676e+03   \n",
+       "2        Acre  1987  15838227.39                    9.018689e+03   \n",
+       "3        Acre  1988  15797524.44                    8.686996e+03   \n",
+       "4        Acre  1989  15755800.90                    8.200104e+03   \n",
+       "..        ...   ...          ...                             ...   \n",
+       "112  Rondônia  2019  13877352.63                    1.011291e+06   \n",
+       "113  Rondônia  2020  13715719.14                    1.025098e+06   \n",
+       "114  Rondônia  2021  13490404.85                    1.031623e+06   \n",
+       "115  Rondônia  2022  13248533.18                    1.000377e+06   \n",
+       "116  Rondônia  2023  12966273.08                    1.019636e+06   \n",
+       "\n",
+       "     Agropecuária  Área sem Vegetação  Água e Ambientes Marinhos  \\\n",
+       "0    4.028161e+05         14638.38808                50422.82587   \n",
+       "1    4.374748e+05         15349.86116                53745.53548   \n",
+       "2    4.808359e+05         15630.80237                54589.01600   \n",
+       "3    5.207034e+05         16005.41658                55383.91165   \n",
+       "4    5.617487e+05         16482.26265                56073.35464   \n",
+       "..            ...                 ...                        ...   \n",
+       "112  8.562131e+06         71275.86336               241224.40480   \n",
+       "113  8.720937e+06         72100.63356               229418.25730   \n",
+       "114  8.934741e+06         74098.56013               232405.26380   \n",
+       "115  9.187011e+06         75704.06195               251638.74890   \n",
+       "116  9.444911e+06         83124.05088               249319.20820   \n",
+       "\n",
+       "     Não Observado  Área Total do Território  \n",
+       "0       146.651394               16398455.19  \n",
+       "1       149.028083               16398455.19  \n",
+       "2       153.334465               16398455.19  \n",
+       "3       150.971725               16398455.19  \n",
+       "4       149.821925               16398455.19  \n",
+       "..             ...                       ...  \n",
+       "112       8.980762               23763283.02  \n",
+       "113       9.862587               23763283.02  \n",
+       "114      10.293672               23763283.02  \n",
+       "115      18.641730               23763283.02  \n",
+       "116      20.063103               23763283.02  \n",
+       "\n",
+       "[117 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Estados                            object\n",
+       "Ano                                 int64\n",
+       "Floresta                          float64\n",
+       "Formação Florestal não Natural    float64\n",
+       "Agropecuária                      float64\n",
+       "Área sem Vegetação                float64\n",
+       "Água e Ambientes Marinhos         float64\n",
+       "Não Observado                     float64\n",
+       "Área Total do Território          float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Estados                           0\n",
+       "Ano                               0\n",
+       "Floresta                          0\n",
+       "Formação Florestal não Natural    0\n",
+       "Agropecuária                      0\n",
+       "Área sem Vegetação                0\n",
+       "Água e Ambientes Marinhos         0\n",
+       "Não Observado                     0\n",
+       "Área Total do Território          0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dados_1985 = df[df['Ano'] == 1985]\n",
+    "soma_area_vegetada_1985 = dados_1985['Floresta'].sum()\n",
+    "soma_area_agropecuaria_1985 = dados_1985['Agropecuária'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Soma da Área Vegetada em 1985: 184967793.74 ha\n",
+      "Soma da Área Agropecuária em 1985: 2248604.10 ha\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Soma da Área Vegetada em 1985: {soma_area_vegetada_1985:.2f} ha\")\n",
+    "print(f\"Soma da Área Agropecuária em 1985: {soma_area_agropecuaria_1985:.2f} ha\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Soma da Área Vegetada em 2023: 172085602.04 ha\n",
+      "Soma da Área Agropecuária em 2023: 14893604.23 ha\n"
+     ]
+    }
+   ],
+   "source": [
+    "dados_2023 = df[df['Ano'] == 2023]\n",
+    "soma_area_vegetada = dados_2023['Floresta'].sum()\n",
+    "soma_area_agropecuaria = dados_2023['Agropecuária'].sum()\n",
+    "print(f\"Soma da Área Vegetada em 2023: {soma_area_vegetada:.2f} ha\")\n",
+    "print(f\"Soma da Área Agropecuária em 2023: {soma_area_agropecuaria:.2f} ha\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Soma da Área Vegetada em km²: 1720856.02 km²\n",
+      "Soma da Área Agropecuária em km²: 148936.04 km²\n"
+     ]
+    }
+   ],
+   "source": [
+    "soma_area_floresta_km2 = soma_area_vegetada * 0.01\n",
+    "soma_area_agropecuaria_km2 = soma_area_agropecuaria * 0.01\n",
+    "print(f\"Soma da Área Vegetada em km²: {soma_area_floresta_km2:.2f} km²\")\n",
+    "print(f\"Soma da Área Agropecuária em km²: {soma_area_agropecuaria_km2:.2f} km²\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Soma da Área Vegetada em km² em 1985: 1849677.94 km²\n",
+      "Soma da Área Agropecuária em km² em 1985: 22486.04 km²\n"
+     ]
+    }
+   ],
+   "source": [
+    "soma_area_floresta_km2_1985 = soma_area_vegetada_1985 * 0.01\n",
+    "soma_area_agropecuaria_km2_1985 = soma_area_agropecuaria_1985 * 0.01\n",
+    "print(f\"Soma da Área Vegetada em km² em 1985: {soma_area_floresta_km2_1985:.2f} km²\")\n",
+    "print(f\"Soma da Área Agropecuária em km² em 1985: {soma_area_agropecuaria_km2_1985:.2f} km²\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "anos = ['1985', '2023']\n",
+    "areas_floresta = [soma_area_floresta_km2_1985, soma_area_floresta_km2]\n",
+    "areas_agropecuaria = [soma_area_agropecuaria_km2_1985, soma_area_agropecuaria_km2]\n",
+    "bar_width = 0.20\n",
+    "x = range(len(anos))\n",
+    "fig, ax = plt.subplots(figsize=(10, 5))\n",
+    "bar1 = ax.bar(x, areas_floresta, width=bar_width, label='Área Vegetada (Floresta)', color='#70a145', alpha=1)\n",
+    "bar2 = ax.bar([p + bar_width for p in x], areas_agropecuaria, width=bar_width, label='Área Agropecuária', color='#d8a155', alpha=1)\n",
+    "ax.set_xlabel('Ano')\n",
+    "ax.set_ylabel('Área (km²)')\n",
+    "ax.set_title('Comparação da Área Vegetada e Agropecuária em 1985 e 2023 no Acre')\n",
+    "ax.set_xticks([p + bar_width / 2 for p in x])\n",
+    "ax.set_xticklabels(anos)\n",
+    "ax.legend(title='Uso do Solo')\n",
+    "ax.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/material/mapbiomas.csv b/material/mapbiomas.csv
new file mode 100644
index 0000000..f1e748a
--- /dev/null
+++ b/material/mapbiomas.csv
@@ -0,0 +1,118 @@
+Estados;Ano;Floresta;Formação Florestal não Natural ;Agropecuária;Área sem Vegetação;Água e Ambientes Marinhos;Não Observado;Área Total do Território
+Acre;1985;15918508,29;11922,92904;402816,0969;14638,38808;50422,82587;146,6513944;16398455,19
+Acre;1986;15881885,29;9850,676311;437474,7958;15349,86116;53745,53548;149,0280831;16398455,19
+Acre;1987;15838227,39;9018,689428;480835,9498;15630,80237;54589,016;153,3344648;16398455,19
+Acre;1988;15797524,44;8686,99566;520703,4497;16005,41658;55383,91165;150,9717255;16398455,19
+Acre;1989;15755800,9;8200,103747;561748,7375;16482,26265;56073,35464;149,8219251;16398455,19
+Acre;1990;15729283;7928,02514;587623,9409;16867,30909;56600,35568;152,5515165;16398455,19
+Acre;1991;15694057,63;7924,839313;622427,6492;17334,90842;56559,91063;150,2505056;16398455,19
+Acre;1992;15655241,43;7865,792279;661777,6564;17498,9296;55919,45821;151,9214562;16398455,19
+Acre;1993;15610510,88;7167,296869;705752,5555;17555,47811;57316,95978;152,0108465;16398455,19
+Acre;1994;15543826,51;7432,389136;772715,1039;17680,78005;56651,90525;148,4939559;16398455,19
+Acre;1995;15482074,92;6980,035896;834533,7245;17801,22581;56917,12872;148,1454361;16398455,19
+Acre;1996;15414137,89;6439,889169;903143,75;18016,21724;56566,48634;150,9544996;16398455,19
+Acre;1997;15352295,83;6568,509131;965577,2366;18279,07245;55579,18618;155,3478637;16398455,19
+Acre;1998;15290898,34;6072,877628;1026185,324;18409,22588;56734,59427;154,8266099;16398455,19
+Acre;1999;15221795,79;5015,395835;1092196,641;18484,98881;60816,50917;145,8584817;16398455,19
+Acre;2000;15165126,22;5996,519602;1155763,219;18673,25391;52721,12523;174,8489577;16398455,19
+Acre;2001;15118714,47;6334,593928;1203467,783;18812,06418;50946,77216;179,5072545;16398455,19
+Acre;2002;15042514,86;6449,136875;1278949,032;18936,58761;51435,9831;169,5816104;16398455,19
+Acre;2003;14958964,66;6579,543891;1362777,341;19058,16654;50891,48524;183,9840279;16398455,19
+Acre;2004;14896129,23;6759,524144;1425821,987;19157,24801;50406,02535;181,1745941;16398455,19
+Acre;2005;14835330,34;7107,861247;1488306,598;19323,04253;48205,63677;181,7046431;16398455,19
+Acre;2006;14789438,25;6893,457132;1533868,505;19473,7154;48601,4033;179,852391;16398455,19
+Acre;2007;14755775,66;8336,288703;1567160,128;19643,40679;47366,3567;173,3483153;16398455,19
+Acre;2008;14718910,93;7430,174764;1603071,308;19809,04873;49054,83739;178,8826862;16398455,19
+Acre;2009;14673260,2;6975,657464;1647513,566;19950,1134;50584,85696;170,792677;16398455,19
+Acre;2010;14629583,53;9141,014833;1691957,675;20223,86278;47374,5254;174,5810245;16398455,19
+Acre;2011;14598638,78;8610,44917;1721431,738;20421,7994;49170,9788;181,4353794;16398455,19
+Acre;2012;14571691,12;9611,418892;1746073,929;20648,11198;50263,66892;166,9371036;16398455,19
+Acre;2013;14541589,87;9089,921453;1775687,009;20859,84999;51053,41615;175,1167845;16398455,19
+Acre;2014;14507760,59;9343,579809;1807460,202;21069,99082;52645,97445;174,8524138;16398455,19
+Acre;2015;14462870,34;10066,57968;1851313,538;21173,63605;52855,44242;175,6444497;16398455,19
+Acre;2016;14427652,56;11037,43244;1886710,338;21520,8554;51355,79649;178,2020387;16398455,19
+Acre;2017;14393943,26;10790,03747;1920120,49;21737,23053;51686,40535;177,7659286;16398455,19
+Acre;2018;14349022,06;11760,83463;1964899,294;22042,42531;50559,31175;171,2575932;16398455,19
+Acre;2019;14254287,01;11894,03247;2058370,269;22521,73199;51212,47586;169,6673281;16398455,19
+Acre;2020;14168140,98;12805,57367;2142147,328;23414,61957;51773,94941;172,7382704;16398455,19
+Acre;2021;14057040,2;15714,11272;2248943,708;25689,75552;50913,64133;153,7654139;16398455,19
+Acre;2022;13932738,25;12756,1524;2371150,96;26062,36384;55579,71256;167,7494962;16398455,19
+Acre;2023;13846969,66;21213,90668;2444261,785;29766,70597;56073,88922;169,2412193;16398455,19
+Amazonas;1985;148011624,3;2750676,39;395667,4512;35589,51976;4644270,319;139,4940351;155837967,4
+Amazonas;1986;147888345,5;2616423,732;440580,3052;39949,58012;4852527,186;141,0890629;155837967,4
+Amazonas;1987;147855766,2;2417832,195;468520,5646;41117,47062;5054583,734;147,2438012;155837967,4
+Amazonas;1988;147751430,5;2604561,805;485156,7862;43301,06519;4953390,812;126,5166521;155837967,4
+Amazonas;1989;147512578,9;2548258,864;486334,9136;45149,169;5245531,928;113,6404705;155837967,4
+Amazonas;1990;147609678,9;2407960,7;480991,6384;46666,30017;5292560,574;109,3651842;155837967,4
+Amazonas;1991;147567244,4;2205825,044;465685,8268;47774,55866;5551301,415;136,1880176;155837967,4
+Amazonas;1992;147529671,8;2365932,712;500517,9056;48509,65983;5393197,584;137,7828062;155837967,4
+Amazonas;1993;147468000,3;2245592,307;536055,5036;48969,15448;5539208,309;141,8964798;155837967,4
+Amazonas;1994;147493420,7;2326911,473;557955,648;49588,06698;5409939,536;152,0023913;155837967,4
+Amazonas;1995;147520357,7;2323639,663;572479,8327;49894,33949;5371450,875;145,0179538;155837967,4
+Amazonas;1996;147452516,4;2171184,174;626839,4969;50577,90259;5536704,953;144,4720307;155837967,4
+Amazonas;1997;147414220,7;2441519,347;726331,8637;52010,7499;5203769,935;114,884774;155837967,4
+Amazonas;1998;147319647,3;2692919,379;849426,6157;53176,98631;4922662,053;135,0736869;155837967,4
+Amazonas;1999;147221189,4;2119599,943;906741,2989;53769,18501;5536526,301;141,3520706;155837967,4
+Amazonas;2000;147438635;2529633,351;898847,7569;55720,78185;4914961,504;169,0324;155837967,4
+Amazonas;2001;147469094,7;2646351,924;896093,2418;56669,62889;4769579,862;178,0649795;155837967,4
+Amazonas;2002;147437007,1;2533213,671;924197,4905;57035,61434;4886346,603;166,9689221;155837967,4
+Amazonas;2003;147368961,6;2683569,706;1001032,975;57913,98372;4726327,252;161,8802655;155837967,4
+Amazonas;2004;147275785,5;2701494,357;1086817,515;58847,10844;4714886,238;136,6833236;155837967,4
+Amazonas;2005;147208852,7;2658449,51;1184355,957;59165,52855;4726983,538;160,2544941;155837967,4
+Amazonas;2006;147112433,7;2674786,234;1286832,186;59919,89946;4703846,103;149,2755709;155837967,4
+Amazonas;2007;147070568,7;2530771,016;1315736,997;60248,42404;4860490,394;151,8757365;155837967,4
+Amazonas;2008;147065589,5;2517698,47;1324160,431;61369,31174;4868996,589;153,1300839;155837967,4
+Amazonas;2009;146989146,8;2464467,289;1378022,007;62015,22776;4944173,667;142,4893104;155837967,4
+Amazonas;2010;146932524,9;2703344,713;1450000,316;62593,45245;4689331,46;172,6128905;155837967,4
+Amazonas;2011;146925574,2;2606538,2;1471372,562;63159,78014;4771175,462;147,2207229;155837967,4
+Amazonas;2012;146907614,5;2539547,141;1459164,599;63839,46515;4867638,774;162,9710586;155837967,4
+Amazonas;2013;146886953,2;2565846,923;1491779,263;64449,43229;4828775,041;163,5853725;155837967,4
+Amazonas;2014;146810723;2600406,466;1549654,929;65270,76158;4811743,65;168,5936132;155837967,4
+Amazonas;2015;146685935,5;2668079,321;1660453,249;66063,96507;4757269,793;165,6449848;155837967,4
+Amazonas;2016;146508326,1;2939622,407;1826041,613;66868,24438;4496932,148;176,8972496;155837967,4
+Amazonas;2017;146420960,3;2715396,102;1913956,96;67141,82631;4720326,803;185,3999845;155837967,4
+Amazonas;2018;146374272,4;2810324,683;1963115,594;67894,74461;4622183,933;176,0845316;155837967,4
+Amazonas;2019;146221340,4;2717248,676;2077088,449;68323,12118;4753788,184;178,593146;155837967,4
+Amazonas;2020;146059525,9;2840072,907;2228877,474;69244,55574;4640070,576;176,0126081;155837967,4
+Amazonas;2021;145728021,8;2723280,951;2489076,394;73873,85045;4823595,458;119,00756;155837967,4
+Amazonas;2022;145327379,8;2360656,128;2798978,137;80916,65309;5269944,371;92,39182794;155837967,4
+Amazonas;2023;145272359,3;2449775,639;3004431,452;85141,91959;5026161,876;97,30018622;155837967,4
+Rondônia;1985;21037661,15;1005085,281;1450120,549;44466,77542;225939,8596;9,410799817;23763283,02
+Rondônia;1986;20703775,47;972925,3726;1797238,841;49180,50441;240152,6322;10,19903302;23763283,02
+Rondônia;1987;20503339,21;977080,8353;2001929,776;47720,73868;233200,0608;12,39932266;23763283,02
+Rondônia;1988;20302128,32;974820,4553;2202367,057;47886,23714;236070,1372;10,81707273;23763283,02
+Rondônia;1989;20149260,52;999427,2628;2339806,51;48656,56295;226120,5597;11,60830099;23763283,02
+Rondônia;1990;20092922,28;943493,1422;2394710,733;49346,84082;282798,9432;11,08757756;23763283,02
+Rondônia;1991;19940745,84;920908,9204;2544653,005;50151,76835;306814,8715;8,620812524;23763283,02
+Rondônia;1992;19711520,64;920465,5532;2772901,298;50556,08285;307831,0088;8,444490857;23763283,02
+Rondônia;1993;19467100,99;910565,1743;3016099,386;51109,25692;318399,7668;8,44537868;23763283,02
+Rondônia;1994;19155316,38;928865,9629;3329626,849;51646,80751;297819,1954;7,829391309;23763283,02
+Rondônia;1995;18750511,28;957158,4888;3736390,441;52704,81748;266508,9481;9,052145013;23763283,02
+Rondônia;1996;18364877,46;932599,1269;4123042,639;53821,38803;288933,4401;8,968288116;23763283,02
+Rondônia;1997;18104977,86;939545,5054;4385747,225;54567,30417;278436,3374;8,793068457;23763283,02
+Rondônia;1998;17867952,18;929200,0848;4626219,106;54789,19903;285113,7393;8,714159802;23763283,02
+Rondônia;1999;17576175,95;932219,9244;4918550,959;54300,16054;282028,0215;8,00912887;23763283,02
+Rondônia;2000;17330211,85;1008010,5;5177139,455;54903,03229;193005,5938;12,58726262;23763283,02
+Rondônia;2001;17062809,03;1000035,404;5447684,656;55426,92531;197312,576;14,4343441;23763283,02
+Rondônia;2002;16741704,09;986185,1017;5771649,863;55830,48412;207900,114;13,37344078;23763283,02
+Rondônia;2003;16290314,7;971798,3173;6222586,13;56927,28134;221642,6911;13,90662053;23763283,02
+Rondônia;2004;15918236,67;979253,2914;6592974,317;58663,44177;214142,8951;12,41001798;23763283,02
+Rondônia;2005;15575521,83;980505,2366;6937125,671;58892,53506;211226,1302;11,61627885;23763283,02
+Rondônia;2006;15364948,76;981998,8232;7146712,856;58867,91467;210743,2311;11,43631278;23763283,02
+Rondônia;2007;15213367,12;984926,1452;7295848,223;59520,05547;209609,608;11,87081073;23763283,02
+Rondônia;2008;15113203,14;989183,0429;7393565,687;60633,72854;206685,7201;11,70314667;23763283,02
+Rondônia;2009;15068116,3;989715,6405;7437716,812;61341,10118;206381,908;11,26236915;23763283,02
+Rondônia;2010;15038848,05;989960,9135;7463988,649;62498,07154;207975,5465;11,79336554;23763283,02
+Rondônia;2011;14938326,35;1008158,562;7553982,59;63593,24698;199210,6501;11,61940901;23763283,02
+Rondônia;2012;14853098,73;1004713,046;7620573,377;64529,79921;220357,3322;10,73482786;23763283,02
+Rondônia;2013;14772023,57;1009462,708;7694069,035;65828,02106;221888,7801;10,90972204;23763283,02
+Rondônia;2014;14675374,61;1014921,469;7779985,236;66721,86236;226267,6258;12,22336951;23763283,02
+Rondônia;2015;14533183,13;1027939,45;7917977,102;67943,44844;216230,9201;8,975785394;23763283,02
+Rondônia;2016;14361134,22;1018087,939;8094598,863;68800,81631;220650,1754;11,00583392;23763283,02
+Rondônia;2017;14201308,56;1009290,318;8251583,417;69644,10222;231446,2414;10,38209514;23763283,02
+Rondônia;2018;14069648,82;1008525,087;8375782,759;70786,00241;238531,7361;8,622692542;23763283,02
+Rondônia;2019;13877352,63;1011290,518;8562130,624;71275,86336;241224,4048;8,980761792;23763283,02
+Rondônia;2020;13715719,14;1025097,828;8720937,306;72100,63356;229418,2573;9,86258656;23763283,02
+Rondônia;2021;13490404,85;1031623,097;8934740,963;74098,56013;232405,2638;10,29367188;23763283,02
+Rondônia;2022;13248533,18;1000377,137;9187011,254;75704,06195;251638,7489;18,64172961;23763283,02
+Rondônia;2023;12966273,08;1019635,625;9444910,993;83124,05088;249319,2082;20,06310344;23763283,02

From e17df9bacc8c1d1235d3c26790bee498e2aabe57 Mon Sep 17 00:00:00 2001
From: Jenifer <jenifersilva429@gmail.com>
Date: Mon, 14 Oct 2024 14:05:53 -0300
Subject: [PATCH 3/4] Atividade

---
 assets/README copy.md                 |   23 +
 material/Projeto_Final.ipynb          | 2291 +++++++++++++++++--------
 material/df_final.xlsx                |  Bin 0 -> 769799 bytes
 material/mapbiomas.csv                |  118 --
 material/tabela para formatar (1).csv | 1553 +++++++++++++++++
 5 files changed, 3175 insertions(+), 810 deletions(-)
 create mode 100644 assets/README copy.md
 create mode 100644 material/df_final.xlsx
 delete mode 100644 material/mapbiomas.csv
 create mode 100644 material/tabela para formatar (1).csv

diff --git a/assets/README copy.md b/assets/README copy.md
new file mode 100644
index 0000000..28d7293
--- /dev/null
+++ b/assets/README copy.md	
@@ -0,0 +1,23 @@
+# Projeto Final de Análise de Dado*
+# Contexto
+### A Amazônia enfrenta desafios significativos devido à pressão da agropecuária, que avança sobre áreas de floresta. O desmatamento e a degradação ambiental afetam a biodiversidade e os serviços ecossistêmicos, impactando diretamente as comunidades locais.
+
+# Cenário: 
+### Os estados do Acre, Rondônia e Amazonas apresentam características distintas em termos de cobertura vegetal, práticas agropecuárias e políticas ambientais. Esses fatores influenciam as dinâmicas de uso da terra e a preservação da vegetação nativa. 
+
+# Fonte: 
+### MMA, MAPBIOMAS 
+
+# Ferramentas: 
+### Tableu, Qgis, VSCode, Colab Tecnicas Aplicadas: Análise exploratória, limpeza de dados, produção de mapas no Qgis 
+
+# Conflito: 
+### A expansão da agropecuária muitas vezes entra em conflito com a conservação da vegetação nativa, gerando tensões entre desenvolvimento econômico e preservação ambiental. 
+
+# Pergunta Central: 
+### Como a evolução da agropecuária nos Estados do Acre, Rondônia e Amazonas entre 1985 e 2023 impactou a cobertura de vegetação.
+
+# Conclusão: 
+### Os Estados do Acre, Rondônia e Amazonas, estão sofrendo constante pressão da agropecuária, e sua vegetação nativa está perdendo significativamente espaço para Pastagem e agricultura e mesmo com os adventos das leis ambientais, a área de agropecuária continua crescendo e a zona de floresta natural está cada vez mais em queda, principalmente no Município de Rondônia. 
+
+
diff --git a/material/Projeto_Final.ipynb b/material/Projeto_Final.ipynb
index c1bce3d..e344559 100644
--- a/material/Projeto_Final.ipynb
+++ b/material/Projeto_Final.ipynb
@@ -2,45 +2,28 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv('mapbiomas.csv', delimiter=';', encoding='latin1')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\jenif\\OneDrive\\Área de Trabalho\\Aulas Reprograma\\Aula17\\on35-python-s17-s18-projeto-final\\material\n"
-     ]
-    }
-   ],
-   "source": [
-    "import os\n",
-    "print(os.getcwd())"
+    "df = pd.read_csv('tabela para formatar (1).csv', delimiter=';', encoding='latin1')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -64,77 +47,149 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Estados</th>\n",
-       "      <th>Ano</th>\n",
-       "      <th>Floresta</th>\n",
-       "      <th>Formação Florestal não Natural</th>\n",
-       "      <th>Agropecuária</th>\n",
-       "      <th>Área sem Vegetação</th>\n",
-       "      <th>Água e Ambientes Marinhos</th>\n",
-       "      <th>Não Observado</th>\n",
-       "      <th>Área Total do Território</th>\n",
+       "      <th>country</th>\n",
+       "      <th>state</th>\n",
+       "      <th>municipality</th>\n",
+       "      <th>municipality - state</th>\n",
+       "      <th>geocode</th>\n",
+       "      <th>feature_id</th>\n",
+       "      <th>class</th>\n",
+       "      <th>class_level_0</th>\n",
+       "      <th>class_level_1</th>\n",
+       "      <th>class_level_2</th>\n",
+       "      <th>...</th>\n",
+       "      <th>2014</th>\n",
+       "      <th>2015</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>2018</th>\n",
+       "      <th>2019</th>\n",
+       "      <th>2020</th>\n",
+       "      <th>2021</th>\n",
+       "      <th>2022</th>\n",
+       "      <th>2023</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1985</td>\n",
-       "      <td>15918508,29</td>\n",
-       "      <td>11922,92904</td>\n",
-       "      <td>402816,0969</td>\n",
-       "      <td>14638,38808</td>\n",
-       "      <td>50422,82587</td>\n",
-       "      <td>146,6513944</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Undefined</td>\n",
+       "      <td>6. Not Observed</td>\n",
+       "      <td>6. Not Observed</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0,261503815</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>15881885,29</td>\n",
-       "      <td>9850,676311</td>\n",
-       "      <td>437474,7958</td>\n",
-       "      <td>15349,86116</td>\n",
-       "      <td>53745,53548</td>\n",
-       "      <td>149,0280831</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Natural</td>\n",
+       "      <td>1. Forest</td>\n",
+       "      <td>1.1. Forest Formation</td>\n",
+       "      <td>...</td>\n",
+       "      <td>332800,9905</td>\n",
+       "      <td>330655,9595</td>\n",
+       "      <td>328092,3576</td>\n",
+       "      <td>325089,0807</td>\n",
+       "      <td>321601,8079</td>\n",
+       "      <td>317080,886</td>\n",
+       "      <td>312833,4802</td>\n",
+       "      <td>308087,1866</td>\n",
+       "      <td>302368,686</td>\n",
+       "      <td>295302,9067</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>15838227,39</td>\n",
-       "      <td>9018,689428</td>\n",
-       "      <td>480835,9498</td>\n",
-       "      <td>15630,80237</td>\n",
-       "      <td>54589,016</td>\n",
-       "      <td>153,3344648</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Natural</td>\n",
+       "      <td>1. Forest</td>\n",
+       "      <td>1.2. Savanna Formation</td>\n",
+       "      <td>...</td>\n",
+       "      <td>12432,4919</td>\n",
+       "      <td>12394,86441</td>\n",
+       "      <td>12328,69757</td>\n",
+       "      <td>12286,9105</td>\n",
+       "      <td>12289,79228</td>\n",
+       "      <td>12509,42233</td>\n",
+       "      <td>12637,74912</td>\n",
+       "      <td>12307,14939</td>\n",
+       "      <td>11634,3828</td>\n",
+       "      <td>10934,47371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>15797524,44</td>\n",
-       "      <td>8686,99566</td>\n",
-       "      <td>520703,4497</td>\n",
-       "      <td>16005,41658</td>\n",
-       "      <td>55383,91165</td>\n",
-       "      <td>150,9717255</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Natural</td>\n",
+       "      <td>1. Forest</td>\n",
+       "      <td>1.4 Floodable Forest</td>\n",
+       "      <td>...</td>\n",
+       "      <td>66450,36896</td>\n",
+       "      <td>66460,57517</td>\n",
+       "      <td>66459,62096</td>\n",
+       "      <td>66461,43705</td>\n",
+       "      <td>66410,34214</td>\n",
+       "      <td>66020,8108</td>\n",
+       "      <td>65534,09474</td>\n",
+       "      <td>64831,57771</td>\n",
+       "      <td>63363,34899</td>\n",
+       "      <td>62860,91374</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1989</td>\n",
-       "      <td>15755800,9</td>\n",
-       "      <td>8200,103747</td>\n",
-       "      <td>561748,7375</td>\n",
-       "      <td>16482,26265</td>\n",
-       "      <td>56073,35464</td>\n",
-       "      <td>149,8219251</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>Natural</td>\n",
+       "      <td>2. Non Forest Natural Formation</td>\n",
+       "      <td>2.1. Wetland</td>\n",
+       "      <td>...</td>\n",
+       "      <td>78921,46581</td>\n",
+       "      <td>79960,65306</td>\n",
+       "      <td>80014,74567</td>\n",
+       "      <td>80230,91771</td>\n",
+       "      <td>80139,14373</td>\n",
+       "      <td>79931,64188</td>\n",
+       "      <td>80311,40025</td>\n",
+       "      <td>80150,94031</td>\n",
+       "      <td>78179,45287</td>\n",
+       "      <td>78032,84739</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -147,154 +202,286 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>112</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>13877352,63</td>\n",
-       "      <td>1011290,518</td>\n",
-       "      <td>8562130,624</td>\n",
-       "      <td>71275,86336</td>\n",
-       "      <td>241224,4048</td>\n",
-       "      <td>8,980761792</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1547</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>136</td>\n",
+       "      <td>15</td>\n",
+       "      <td>Antropic</td>\n",
+       "      <td>3. Farming</td>\n",
+       "      <td>3.1. Pasture</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6075,010717</td>\n",
+       "      <td>6453,967406</td>\n",
+       "      <td>6363,018603</td>\n",
+       "      <td>6220,098395</td>\n",
+       "      <td>5446,742592</td>\n",
+       "      <td>4587,067628</td>\n",
+       "      <td>4454,052572</td>\n",
+       "      <td>4213,02289</td>\n",
+       "      <td>4482,881233</td>\n",
+       "      <td>5348,021559</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>113</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>13715719,14</td>\n",
-       "      <td>1025097,828</td>\n",
-       "      <td>8720937,306</td>\n",
-       "      <td>72100,63356</td>\n",
-       "      <td>229418,2573</td>\n",
-       "      <td>9,86258656</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1548</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>136</td>\n",
+       "      <td>24</td>\n",
+       "      <td>Antropic</td>\n",
+       "      <td>4. Non vegetated area</td>\n",
+       "      <td>4.2. Urban Area</td>\n",
+       "      <td>...</td>\n",
+       "      <td>250,4919494</td>\n",
+       "      <td>252,0990753</td>\n",
+       "      <td>254,0632464</td>\n",
+       "      <td>256,473824</td>\n",
+       "      <td>258,25921</td>\n",
+       "      <td>262,3656057</td>\n",
+       "      <td>262,9012657</td>\n",
+       "      <td>264,5976279</td>\n",
+       "      <td>267,0973208</td>\n",
+       "      <td>271,739675</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2021</td>\n",
-       "      <td>13490404,85</td>\n",
-       "      <td>1031623,097</td>\n",
-       "      <td>8934740,963</td>\n",
-       "      <td>74098,56013</td>\n",
-       "      <td>232405,2638</td>\n",
-       "      <td>10,29367188</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1549</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>136</td>\n",
+       "      <td>25</td>\n",
+       "      <td>Natural/Antropic</td>\n",
+       "      <td>4. Non vegetated area</td>\n",
+       "      <td>4.4. Other non Vegetated Areas</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1,071399298</td>\n",
+       "      <td>1,785649573</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>2,410251379</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2022</td>\n",
-       "      <td>13248533,18</td>\n",
-       "      <td>1000377,137</td>\n",
-       "      <td>9187011,254</td>\n",
-       "      <td>75704,06195</td>\n",
-       "      <td>251638,7489</td>\n",
-       "      <td>18,64172961</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1550</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>136</td>\n",
+       "      <td>33</td>\n",
+       "      <td>Natural</td>\n",
+       "      <td>5. Water and Marine Environment</td>\n",
+       "      <td>5.1. River, Lake and Ocean</td>\n",
+       "      <td>...</td>\n",
+       "      <td>94682,28744</td>\n",
+       "      <td>91645,32785</td>\n",
+       "      <td>80848,37844</td>\n",
+       "      <td>85638,87746</td>\n",
+       "      <td>87064,3351</td>\n",
+       "      <td>88140,61817</td>\n",
+       "      <td>86851,94714</td>\n",
+       "      <td>94206,8528</td>\n",
+       "      <td>97775,56547</td>\n",
+       "      <td>93398,03811</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>116</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2023</td>\n",
-       "      <td>12966273,08</td>\n",
-       "      <td>1019635,625</td>\n",
-       "      <td>9444910,993</td>\n",
-       "      <td>83124,05088</td>\n",
-       "      <td>249319,2082</td>\n",
-       "      <td>20,06310344</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1551</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>136</td>\n",
+       "      <td>41</td>\n",
+       "      <td>Antropic</td>\n",
+       "      <td>3. Farming</td>\n",
+       "      <td>3.2. Agriculture</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15,71491504</td>\n",
+       "      <td>1,964505023</td>\n",
+       "      <td>5,98317948</td>\n",
+       "      <td>4,553908344</td>\n",
+       "      <td>12,94803776</td>\n",
+       "      <td>0,892983759</td>\n",
+       "      <td>0,714338409</td>\n",
+       "      <td>51,2516371</td>\n",
+       "      <td>39,4636876</td>\n",
+       "      <td>11,51922766</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>117 rows × 9 columns</p>\n",
+       "<p>1552 rows × 51 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "    Estados   Ano     Floresta Formação Florestal não Natural   \\\n",
-       "0         Acre  1985  15918508,29                        11922,92904   \n",
-       "1         Acre  1986  15881885,29                        9850,676311   \n",
-       "2         Acre  1987  15838227,39                        9018,689428   \n",
-       "3         Acre  1988  15797524,44                         8686,99566   \n",
-       "4         Acre  1989   15755800,9                        8200,103747   \n",
-       "..         ...   ...          ...                                ...   \n",
-       "112  Rondônia  2019  13877352,63                        1011290,518   \n",
-       "113  Rondônia  2020  13715719,14                        1025097,828   \n",
-       "114  Rondônia  2021  13490404,85                        1031623,097   \n",
-       "115  Rondônia  2022  13248533,18                        1000377,137   \n",
-       "116  Rondônia  2023  12966273,08                        1019635,625   \n",
+       "     country      state           municipality        municipality - state  \\\n",
+       "0        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "1        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "2        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "3        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "4        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "...         ...        ...                    ...                         ...   \n",
+       "1547     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1548     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1549     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1550     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1551     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "\n",
+       "      geocode  feature_id  class     class_level_0  \\\n",
+       "0     1100015           1      0         Undefined   \n",
+       "1     1100015           1      3           Natural   \n",
+       "2     1100015           1      4           Natural   \n",
+       "3     1100015           1      6           Natural   \n",
+       "4     1100015           1     11           Natural   \n",
+       "...       ...         ...    ...               ...   \n",
+       "1547  1304401         136     15          Antropic   \n",
+       "1548  1304401         136     24          Antropic   \n",
+       "1549  1304401         136     25  Natural/Antropic   \n",
+       "1550  1304401         136     33           Natural   \n",
+       "1551  1304401         136     41          Antropic   \n",
        "\n",
-       "    Agropecuária Área sem Vegetação Água e Ambientes Marinhos  \\\n",
-       "0     402816,0969           14638,38808                50422,82587   \n",
-       "1     437474,7958           15349,86116                53745,53548   \n",
-       "2     480835,9498           15630,80237                  54589,016   \n",
-       "3     520703,4497           16005,41658                55383,91165   \n",
-       "4     561748,7375           16482,26265                56073,35464   \n",
-       "..            ...                   ...                        ...   \n",
-       "112   8562130,624           71275,86336                241224,4048   \n",
-       "113   8720937,306           72100,63356                229418,2573   \n",
-       "114   8934740,963           74098,56013                232405,2638   \n",
-       "115   9187011,254           75704,06195                251638,7489   \n",
-       "116   9444910,993           83124,05088                249319,2082   \n",
+       "                        class_level_1                   class_level_2  ...  \\\n",
+       "0                     6. Not Observed                 6. Not Observed  ...   \n",
+       "1                           1. Forest           1.1. Forest Formation  ...   \n",
+       "2                           1. Forest          1.2. Savanna Formation  ...   \n",
+       "3                           1. Forest            1.4 Floodable Forest  ...   \n",
+       "4     2. Non Forest Natural Formation                    2.1. Wetland  ...   \n",
+       "...                               ...                             ...  ...   \n",
+       "1547                       3. Farming                    3.1. Pasture  ...   \n",
+       "1548            4. Non vegetated area                 4.2. Urban Area  ...   \n",
+       "1549            4. Non vegetated area  4.4. Other non Vegetated Areas  ...   \n",
+       "1550  5. Water and Marine Environment      5.1. River, Lake and Ocean  ...   \n",
+       "1551                       3. Farming                3.2. Agriculture  ...   \n",
        "\n",
-       "    Não Observado Área Total do Território  \n",
-       "0      146,6513944                16398455,19  \n",
-       "1      149,0280831                16398455,19  \n",
-       "2      153,3344648                16398455,19  \n",
-       "3      150,9717255                16398455,19  \n",
-       "4      149,8219251                16398455,19  \n",
-       "..             ...                        ...  \n",
-       "112    8,980761792                23763283,02  \n",
-       "113     9,86258656                23763283,02  \n",
-       "114    10,29367188                23763283,02  \n",
-       "115    18,64172961                23763283,02  \n",
-       "116    20,06310344                23763283,02  \n",
+       "             2014         2015         2016         2017         2018  \\\n",
+       "0               0            0            0            0            0   \n",
+       "1     332800,9905  330655,9595  328092,3576  325089,0807  321601,8079   \n",
+       "2      12432,4919  12394,86441  12328,69757   12286,9105  12289,79228   \n",
+       "3     66450,36896  66460,57517  66459,62096  66461,43705  66410,34214   \n",
+       "4     78921,46581  79960,65306  80014,74567  80230,91771  80139,14373   \n",
+       "...           ...          ...          ...          ...          ...   \n",
+       "1547  6075,010717  6453,967406  6363,018603  6220,098395  5446,742592   \n",
+       "1548  250,4919494  252,0990753  254,0632464   256,473824    258,25921   \n",
+       "1549            0  1,071399298  1,785649573            0            0   \n",
+       "1550  94682,28744  91645,32785  80848,37844  85638,87746   87064,3351   \n",
+       "1551  15,71491504  1,964505023   5,98317948  4,553908344  12,94803776   \n",
        "\n",
-       "[117 rows x 9 columns]"
+       "             2019         2020         2021         2022         2023  \n",
+       "0               0            0            0  0,261503815            0  \n",
+       "1      317080,886  312833,4802  308087,1866   302368,686  295302,9067  \n",
+       "2     12509,42233  12637,74912  12307,14939   11634,3828  10934,47371  \n",
+       "3      66020,8108  65534,09474  64831,57771  63363,34899  62860,91374  \n",
+       "4     79931,64188  80311,40025  80150,94031  78179,45287  78032,84739  \n",
+       "...           ...          ...          ...          ...          ...  \n",
+       "1547  4587,067628  4454,052572   4213,02289  4482,881233  5348,021559  \n",
+       "1548  262,3656057  262,9012657  264,5976279  267,0973208   271,739675  \n",
+       "1549  0,089267816  0,089267816  0,089267816  0,089267816  2,410251379  \n",
+       "1550  88140,61817  86851,94714   94206,8528  97775,56547  93398,03811  \n",
+       "1551  0,892983759  0,714338409   51,2516371   39,4636876  11,51922766  \n",
+       "\n",
+       "[1552 rows x 51 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "#visualizando dataframe\n",
     "df.head(10000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['country', 'state', 'municipality', 'municipality - state',\n",
+      "       'geocode', 'feature_id', 'class', 'class_level_0', 'class_level_1',\n",
+      "       'class_level_2', 'class_level_3', 'class_level_4', '1985', '1986',\n",
+      "       '1987', '1988', '1989', '1990', '1991', '1992', '1993', '1994', '1995',\n",
+      "       '1996', '1997', '1998', '1999', '2000', '2001', '2002', '2003', '2004',\n",
+      "       '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013',\n",
+      "       '2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021', '2022',\n",
+      "       '2023'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
    "source": [
-    "df.columns = df.columns.str.replace('', '', regex=False)"
+    "#visualizando colunas do dataframe\n",
+    "print(df.columns)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
-    "df.columns = df.columns.str.strip()"
+    "#Deletando colunas que não irei usar\n",
+    "df = df.drop(['class_level_1', 'class_level_0','feature_id','class_level_3', 'class_level_4', 'class'], axis=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['country', 'state', 'municipality', 'municipality - state',\n",
+      "       'geocode', 'class_level_2', '1985', '1986', '1987', '1988', '1989',\n",
+      "       '1990', '1991', '1992', '1993', '1994', '1995', '1996', '1997', '1998',\n",
+      "       '1999', '2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007',\n",
+      "       '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016',\n",
+      "       '2017', '2018', '2019', '2020', '2021', '2022', '2023'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
    "source": [
-    "df.columns = df.columns.str.replace('ç', 'ç').str.replace('ã', 'ã').str.replace('á', 'á').str.replace('Á', 'Á').str.replace('ó' , 'ó')"
+    "#Verificando se as colunas foram deletadas\n",
+    "print(df.columns)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -318,77 +505,149 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>Estados</th>\n",
-       "      <th>Ano</th>\n",
-       "      <th>Floresta</th>\n",
-       "      <th>Formação Florestal não Natural</th>\n",
-       "      <th>Agropecuária</th>\n",
-       "      <th>Área sem Vegetação</th>\n",
-       "      <th>Água e Ambientes Marinhos</th>\n",
-       "      <th>Não Observado</th>\n",
-       "      <th>Área Total do Território</th>\n",
+       "      <th>country</th>\n",
+       "      <th>state</th>\n",
+       "      <th>municipality</th>\n",
+       "      <th>municipality - state</th>\n",
+       "      <th>geocode</th>\n",
+       "      <th>class_level_2</th>\n",
+       "      <th>1985</th>\n",
+       "      <th>1986</th>\n",
+       "      <th>1987</th>\n",
+       "      <th>1988</th>\n",
+       "      <th>...</th>\n",
+       "      <th>2014</th>\n",
+       "      <th>2015</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>2018</th>\n",
+       "      <th>2019</th>\n",
+       "      <th>2020</th>\n",
+       "      <th>2021</th>\n",
+       "      <th>2022</th>\n",
+       "      <th>2023</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1985</td>\n",
-       "      <td>15918508,29</td>\n",
-       "      <td>11922,92904</td>\n",
-       "      <td>402816,0969</td>\n",
-       "      <td>14638,38808</td>\n",
-       "      <td>50422,82587</td>\n",
-       "      <td>146,6513944</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>6. Not Observed</td>\n",
+       "      <td>0,087195721</td>\n",
+       "      <td>0,087195721</td>\n",
+       "      <td>0,087195721</td>\n",
+       "      <td>0,26155932</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0,261503815</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1986</td>\n",
-       "      <td>15881885,29</td>\n",
-       "      <td>9850,676311</td>\n",
-       "      <td>437474,7958</td>\n",
-       "      <td>15349,86116</td>\n",
-       "      <td>53745,53548</td>\n",
-       "      <td>149,0280831</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1.1. Forest Formation</td>\n",
+       "      <td>497126,6691</td>\n",
+       "      <td>484402,3123</td>\n",
+       "      <td>479299,6159</td>\n",
+       "      <td>472275,4703</td>\n",
+       "      <td>...</td>\n",
+       "      <td>332800,9905</td>\n",
+       "      <td>330655,9595</td>\n",
+       "      <td>328092,3576</td>\n",
+       "      <td>325089,0807</td>\n",
+       "      <td>321601,8079</td>\n",
+       "      <td>317080,886</td>\n",
+       "      <td>312833,4802</td>\n",
+       "      <td>308087,1866</td>\n",
+       "      <td>302368,686</td>\n",
+       "      <td>295302,9067</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1987</td>\n",
-       "      <td>15838227,39</td>\n",
-       "      <td>9018,689428</td>\n",
-       "      <td>480835,9498</td>\n",
-       "      <td>15630,80237</td>\n",
-       "      <td>54589,016</td>\n",
-       "      <td>153,3344648</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1.2. Savanna Formation</td>\n",
+       "      <td>14218,03273</td>\n",
+       "      <td>14243,80101</td>\n",
+       "      <td>14006,33781</td>\n",
+       "      <td>13878,91399</td>\n",
+       "      <td>...</td>\n",
+       "      <td>12432,4919</td>\n",
+       "      <td>12394,86441</td>\n",
+       "      <td>12328,69757</td>\n",
+       "      <td>12286,9105</td>\n",
+       "      <td>12289,79228</td>\n",
+       "      <td>12509,42233</td>\n",
+       "      <td>12637,74912</td>\n",
+       "      <td>12307,14939</td>\n",
+       "      <td>11634,3828</td>\n",
+       "      <td>10934,47371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>15797524,44</td>\n",
-       "      <td>8686,99566</td>\n",
-       "      <td>520703,4497</td>\n",
-       "      <td>16005,41658</td>\n",
-       "      <td>55383,91165</td>\n",
-       "      <td>150,9717255</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>1.4 Floodable Forest</td>\n",
+       "      <td>66447,92755</td>\n",
+       "      <td>66278,49902</td>\n",
+       "      <td>65965,6639</td>\n",
+       "      <td>65870,39826</td>\n",
+       "      <td>...</td>\n",
+       "      <td>66450,36896</td>\n",
+       "      <td>66460,57517</td>\n",
+       "      <td>66459,62096</td>\n",
+       "      <td>66461,43705</td>\n",
+       "      <td>66410,34214</td>\n",
+       "      <td>66020,8108</td>\n",
+       "      <td>65534,09474</td>\n",
+       "      <td>64831,57771</td>\n",
+       "      <td>63363,34899</td>\n",
+       "      <td>62860,91374</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>Acre</td>\n",
-       "      <td>1989</td>\n",
-       "      <td>15755800,9</td>\n",
-       "      <td>8200,103747</td>\n",
-       "      <td>561748,7375</td>\n",
-       "      <td>16482,26265</td>\n",
-       "      <td>56073,35464</td>\n",
-       "      <td>149,8219251</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Alta Floresta D'Oeste</td>\n",
+       "      <td>Alta Floresta D'Oeste - RO</td>\n",
+       "      <td>1100015</td>\n",
+       "      <td>2.1. Wetland</td>\n",
+       "      <td>69067,46643</td>\n",
+       "      <td>67844,16347</td>\n",
+       "      <td>63071,78847</td>\n",
+       "      <td>65921,86014</td>\n",
+       "      <td>...</td>\n",
+       "      <td>78921,46581</td>\n",
+       "      <td>79960,65306</td>\n",
+       "      <td>80014,74567</td>\n",
+       "      <td>80230,91771</td>\n",
+       "      <td>80139,14373</td>\n",
+       "      <td>79931,64188</td>\n",
+       "      <td>80311,40025</td>\n",
+       "      <td>80150,94031</td>\n",
+       "      <td>78179,45287</td>\n",
+       "      <td>78032,84739</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -401,116 +660,214 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>112</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>13877352,63</td>\n",
-       "      <td>1011290,518</td>\n",
-       "      <td>8562130,624</td>\n",
-       "      <td>71275,86336</td>\n",
-       "      <td>241224,4048</td>\n",
-       "      <td>8,980761792</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1547</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>3.1. Pasture</td>\n",
+       "      <td>4156,763022</td>\n",
+       "      <td>4507,801711</td>\n",
+       "      <td>3757,345729</td>\n",
+       "      <td>2849,523682</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6075,010717</td>\n",
+       "      <td>6453,967406</td>\n",
+       "      <td>6363,018603</td>\n",
+       "      <td>6220,098395</td>\n",
+       "      <td>5446,742592</td>\n",
+       "      <td>4587,067628</td>\n",
+       "      <td>4454,052572</td>\n",
+       "      <td>4213,02289</td>\n",
+       "      <td>4482,881233</td>\n",
+       "      <td>5348,021559</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>113</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>13715719,14</td>\n",
-       "      <td>1025097,828</td>\n",
-       "      <td>8720937,306</td>\n",
-       "      <td>72100,63356</td>\n",
-       "      <td>229418,2573</td>\n",
-       "      <td>9,86258656</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1548</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>4.2. Urban Area</td>\n",
+       "      <td>0,714368091</td>\n",
+       "      <td>142,1153242</td>\n",
+       "      <td>144,1688568</td>\n",
+       "      <td>158,5409698</td>\n",
+       "      <td>...</td>\n",
+       "      <td>250,4919494</td>\n",
+       "      <td>252,0990753</td>\n",
+       "      <td>254,0632464</td>\n",
+       "      <td>256,473824</td>\n",
+       "      <td>258,25921</td>\n",
+       "      <td>262,3656057</td>\n",
+       "      <td>262,9012657</td>\n",
+       "      <td>264,5976279</td>\n",
+       "      <td>267,0973208</td>\n",
+       "      <td>271,739675</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2021</td>\n",
-       "      <td>13490404,85</td>\n",
-       "      <td>1031623,097</td>\n",
-       "      <td>8934740,963</td>\n",
-       "      <td>74098,56013</td>\n",
-       "      <td>232405,2638</td>\n",
-       "      <td>10,29367188</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1549</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>4.4. Other non Vegetated Areas</td>\n",
+       "      <td>11,78334989</td>\n",
+       "      <td>0,089267682</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1,071399298</td>\n",
+       "      <td>1,785649573</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>0,089267816</td>\n",
+       "      <td>2,410251379</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2022</td>\n",
-       "      <td>13248533,18</td>\n",
-       "      <td>1000377,137</td>\n",
-       "      <td>9187011,254</td>\n",
-       "      <td>75704,06195</td>\n",
-       "      <td>251638,7489</td>\n",
-       "      <td>18,64172961</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1550</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>5.1. River, Lake and Ocean</td>\n",
+       "      <td>46794,62599</td>\n",
+       "      <td>46587,2066</td>\n",
+       "      <td>60871,54883</td>\n",
+       "      <td>62810,67117</td>\n",
+       "      <td>...</td>\n",
+       "      <td>94682,28744</td>\n",
+       "      <td>91645,32785</td>\n",
+       "      <td>80848,37844</td>\n",
+       "      <td>85638,87746</td>\n",
+       "      <td>87064,3351</td>\n",
+       "      <td>88140,61817</td>\n",
+       "      <td>86851,94714</td>\n",
+       "      <td>94206,8528</td>\n",
+       "      <td>97775,56547</td>\n",
+       "      <td>93398,03811</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>116</th>\n",
-       "      <td>Rondônia</td>\n",
-       "      <td>2023</td>\n",
-       "      <td>12966273,08</td>\n",
-       "      <td>1019635,625</td>\n",
-       "      <td>9444910,993</td>\n",
-       "      <td>83124,05088</td>\n",
-       "      <td>249319,2082</td>\n",
-       "      <td>20,06310344</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <th>1551</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Amazonas</td>\n",
+       "      <td>Urucurituba</td>\n",
+       "      <td>Urucurituba - AM</td>\n",
+       "      <td>1304401</td>\n",
+       "      <td>3.2. Agriculture</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15,71491504</td>\n",
+       "      <td>1,964505023</td>\n",
+       "      <td>5,98317948</td>\n",
+       "      <td>4,553908344</td>\n",
+       "      <td>12,94803776</td>\n",
+       "      <td>0,892983759</td>\n",
+       "      <td>0,714338409</td>\n",
+       "      <td>51,2516371</td>\n",
+       "      <td>39,4636876</td>\n",
+       "      <td>11,51922766</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>117 rows × 9 columns</p>\n",
+       "<p>1552 rows × 45 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       Estados   Ano     Floresta Formação Florestal não Natural Agropecuária  \\\n",
-       "0         Acre  1985  15918508,29                    11922,92904  402816,0969   \n",
-       "1         Acre  1986  15881885,29                    9850,676311  437474,7958   \n",
-       "2         Acre  1987  15838227,39                    9018,689428  480835,9498   \n",
-       "3         Acre  1988  15797524,44                     8686,99566  520703,4497   \n",
-       "4         Acre  1989   15755800,9                    8200,103747  561748,7375   \n",
-       "..         ...   ...          ...                            ...          ...   \n",
-       "112  Rondônia  2019  13877352,63                    1011290,518  8562130,624   \n",
-       "113  Rondônia  2020  13715719,14                    1025097,828  8720937,306   \n",
-       "114  Rondônia  2021  13490404,85                    1031623,097  8934740,963   \n",
-       "115  Rondônia  2022  13248533,18                    1000377,137  9187011,254   \n",
-       "116  Rondônia  2023  12966273,08                    1019635,625  9444910,993   \n",
+       "     country      state           municipality        municipality - state  \\\n",
+       "0        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "1        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "2        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "3        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "4        Brasil  Rondônia  Alta Floresta D'Oeste  Alta Floresta D'Oeste - RO   \n",
+       "...         ...        ...                    ...                         ...   \n",
+       "1547     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1548     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1549     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1550     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "1551     Brasil   Amazonas            Urucurituba            Urucurituba - AM   \n",
+       "\n",
+       "      geocode                   class_level_2         1985         1986  \\\n",
+       "0     1100015                 6. Not Observed  0,087195721  0,087195721   \n",
+       "1     1100015           1.1. Forest Formation  497126,6691  484402,3123   \n",
+       "2     1100015          1.2. Savanna Formation  14218,03273  14243,80101   \n",
+       "3     1100015            1.4 Floodable Forest  66447,92755  66278,49902   \n",
+       "4     1100015                    2.1. Wetland  69067,46643  67844,16347   \n",
+       "...       ...                             ...          ...          ...   \n",
+       "1547  1304401                    3.1. Pasture  4156,763022  4507,801711   \n",
+       "1548  1304401                 4.2. Urban Area  0,714368091  142,1153242   \n",
+       "1549  1304401  4.4. Other non Vegetated Areas  11,78334989  0,089267682   \n",
+       "1550  1304401      5.1. River, Lake and Ocean  46794,62599   46587,2066   \n",
+       "1551  1304401                3.2. Agriculture            0            0   \n",
        "\n",
-       "    Área sem Vegetação Água e Ambientes Marinhos Não Observado  \\\n",
-       "0          14638,38808               50422,82587   146,6513944   \n",
-       "1          15349,86116               53745,53548   149,0280831   \n",
-       "2          15630,80237                 54589,016   153,3344648   \n",
-       "3          16005,41658               55383,91165   150,9717255   \n",
-       "4          16482,26265               56073,35464   149,8219251   \n",
-       "..                 ...                       ...           ...   \n",
-       "112        71275,86336               241224,4048   8,980761792   \n",
-       "113        72100,63356               229418,2573    9,86258656   \n",
-       "114        74098,56013               232405,2638   10,29367188   \n",
-       "115        75704,06195               251638,7489   18,64172961   \n",
-       "116        83124,05088               249319,2082   20,06310344   \n",
+       "             1987         1988  ...         2014         2015         2016  \\\n",
+       "0     0,087195721   0,26155932  ...            0            0            0   \n",
+       "1     479299,6159  472275,4703  ...  332800,9905  330655,9595  328092,3576   \n",
+       "2     14006,33781  13878,91399  ...   12432,4919  12394,86441  12328,69757   \n",
+       "3      65965,6639  65870,39826  ...  66450,36896  66460,57517  66459,62096   \n",
+       "4     63071,78847  65921,86014  ...  78921,46581  79960,65306  80014,74567   \n",
+       "...           ...          ...  ...          ...          ...          ...   \n",
+       "1547  3757,345729  2849,523682  ...  6075,010717  6453,967406  6363,018603   \n",
+       "1548  144,1688568  158,5409698  ...  250,4919494  252,0990753  254,0632464   \n",
+       "1549            0            0  ...            0  1,071399298  1,785649573   \n",
+       "1550  60871,54883  62810,67117  ...  94682,28744  91645,32785  80848,37844   \n",
+       "1551            0            0  ...  15,71491504  1,964505023   5,98317948   \n",
        "\n",
-       "    Área Total do Território  \n",
-       "0                16398455,19  \n",
-       "1                16398455,19  \n",
-       "2                16398455,19  \n",
-       "3                16398455,19  \n",
-       "4                16398455,19  \n",
-       "..                       ...  \n",
-       "112              23763283,02  \n",
-       "113              23763283,02  \n",
-       "114              23763283,02  \n",
-       "115              23763283,02  \n",
-       "116              23763283,02  \n",
+       "             2017         2018         2019         2020         2021  \\\n",
+       "0               0            0            0            0            0   \n",
+       "1     325089,0807  321601,8079   317080,886  312833,4802  308087,1866   \n",
+       "2      12286,9105  12289,79228  12509,42233  12637,74912  12307,14939   \n",
+       "3     66461,43705  66410,34214   66020,8108  65534,09474  64831,57771   \n",
+       "4     80230,91771  80139,14373  79931,64188  80311,40025  80150,94031   \n",
+       "...           ...          ...          ...          ...          ...   \n",
+       "1547  6220,098395  5446,742592  4587,067628  4454,052572   4213,02289   \n",
+       "1548   256,473824    258,25921  262,3656057  262,9012657  264,5976279   \n",
+       "1549            0            0  0,089267816  0,089267816  0,089267816   \n",
+       "1550  85638,87746   87064,3351  88140,61817  86851,94714   94206,8528   \n",
+       "1551  4,553908344  12,94803776  0,892983759  0,714338409   51,2516371   \n",
        "\n",
-       "[117 rows x 9 columns]"
+       "             2022         2023  \n",
+       "0     0,261503815            0  \n",
+       "1      302368,686  295302,9067  \n",
+       "2      11634,3828  10934,47371  \n",
+       "3     63363,34899  62860,91374  \n",
+       "4     78179,45287  78032,84739  \n",
+       "...           ...          ...  \n",
+       "1547  4482,881233  5348,021559  \n",
+       "1548  267,0973208   271,739675  \n",
+       "1549  0,089267816  2,410251379  \n",
+       "1550  97775,56547  93398,03811  \n",
+       "1551   39,4636876  11,51922766  \n",
+       "\n",
+       "[1552 rows x 45 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -521,16 +878,146 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Tabela Transformada:\n",
+      "class_level_2 country      state municipality municipality - state  \\\n",
+      "0                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+      "1                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+      "2                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+      "3                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+      "4                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+      "...                  ...        ...          ...                  ...   \n",
+      "5299              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+      "5300              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+      "5301              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+      "5302              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+      "5303              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+      "\n",
+      "class_level_2  geocode   Ano  1.1. Forest Formation  1.2. Savanna Formation  \\\n",
+      "0              1200013  1985            170522.5630                 0.00000   \n",
+      "1              1200013  1986            168465.1393                 0.00000   \n",
+      "2              1200013  1987            165330.0293                 0.00000   \n",
+      "3              1200013  1988            162561.2052                 0.00000   \n",
+      "4              1200013  1989            160772.1833                 0.00000   \n",
+      "...                ...   ...                    ...                     ...   \n",
+      "5299           1100304  2019            885322.6255             84258.28322   \n",
+      "5300           1100304  2020            881559.5805             84482.63948   \n",
+      "5301           1100304  2021            880230.5709             83785.28473   \n",
+      "5302           1100304  2022            877310.5048             81527.18220   \n",
+      "5303           1100304  2023            874103.4921             76439.45258   \n",
+      "\n",
+      "class_level_2  1.4 Floodable Forest  2.1. Wetland  ...   3.1. Pasture  \\\n",
+      "0                       1801.208313     16.031937  ...    8103.505678   \n",
+      "1                       1790.288667     16.824668  ...   10161.630190   \n",
+      "2                       1788.615343     11.891430  ...   13294.535860   \n",
+      "3                       1781.130176     13.477307  ...   16073.930880   \n",
+      "4                       1767.922274     14.710258  ...   17871.934600   \n",
+      "...                             ...           ...  ...            ...   \n",
+      "5299                    2122.713964    401.586339  ...  125673.176900   \n",
+      "5300                    2140.127845    302.518828  ...  127974.069600   \n",
+      "5301                    2137.584947    291.264539  ...  129291.502900   \n",
+      "5302                    2097.129301    169.672293  ...  133943.084800   \n",
+      "5303                    2094.621416    146.971802  ...  141784.246900   \n",
+      "\n",
+      "class_level_2  3.2. Agriculture  3.3. Forest Plantation  3.4. Mosaic of Uses  \\\n",
+      "0                      0.000000                0.000000             0.000000   \n",
+      "1                      0.000000                0.000000             0.000000   \n",
+      "2                      0.000000                0.000000             0.000000   \n",
+      "3                      0.000000                0.000000             0.000000   \n",
+      "4                      0.000000                0.000000             0.000000   \n",
+      "...                         ...                     ...                  ...   \n",
+      "5299               23270.111604              727.527206          3245.701787   \n",
+      "5300               23297.723967              719.064729          4476.595533   \n",
+      "5301               23289.504624              790.578701          4852.319592   \n",
+      "5302               23255.731117              789.705872          5982.102443   \n",
+      "5303               23250.517614              790.753327          7726.165218   \n",
+      "\n",
+      "class_level_2  4.2. Urban Area  4.3. Mining  4.4. Other non Vegetated Areas  \\\n",
+      "0                    23.335473     0.000000                        0.000000   \n",
+      "1                    28.710089     0.000000                        0.000000   \n",
+      "2                    46.853513     0.000000                        0.000000   \n",
+      "3                    55.307212     0.000000                        0.000000   \n",
+      "4                    58.389454     0.000000                        0.000000   \n",
+      "...                        ...          ...                             ...   \n",
+      "5299               4115.133357    82.554226                     2694.843632   \n",
+      "5300               4195.853466    81.239661                     2770.820473   \n",
+      "5301               4204.316648   572.199877                     2684.583949   \n",
+      "5302               4207.719922   613.328484                     3328.265295   \n",
+      "5303               4242.011188   614.903454                     4974.397060   \n",
+      "\n",
+      "class_level_2  5.1. River, Lake and Ocean  5.2. Aquaculture  6. Not Observed  \n",
+      "0                              299.227178               0.0        17.875955  \n",
+      "1                              312.789810               0.0        17.083500  \n",
+      "2                              302.046240               0.0        18.844803  \n",
+      "3                              300.197710               0.0        20.165666  \n",
+      "4                              310.854326               0.0        16.995933  \n",
+      "...                                   ...               ...              ...  \n",
+      "5299                           831.980596               0.0         0.000000  \n",
+      "5300                           775.193975               0.0         0.000000  \n",
+      "5301                           719.791785               0.0         0.000000  \n",
+      "5302                           924.152837               0.0         0.000000  \n",
+      "5303                           928.681098               0.0         0.000000  \n",
+      "\n",
+      "[5304 rows x 22 columns]\n"
+     ]
+    }
+   ],
    "source": [
-    "df['Estados'] = df['Estados'].replace('Rondônia', 'Rondônia')"
+    "df_melted = df.melt(id_vars=['country', 'state', 'municipality', 'municipality - state', 'geocode', 'class_level_2'],\n",
+    "                    var_name='Ano', value_name='Valor')\n",
+    "df_melted['Valor'] = df_melted['Valor'].astype(str).str.replace(',', '.').astype(float)\n",
+    "\n",
+    "# Passo 2: Pivotear para que cada class_level_2 vire uma coluna\n",
+    "df_pivot = df_melted.pivot_table(index=['country', 'state', 'municipality', 'municipality - state', 'geocode', 'Ano'],\n",
+    "                                 columns='class_level_2',\n",
+    "                                 values='Valor',\n",
+    "                                 fill_value=0)\n",
+    "\n",
+    "# Ajustando para deixar em formato de DataFrame\n",
+    "df_pivot.reset_index(inplace=True)\n",
+    "\n",
+    "# Exibindo o resultado final\n",
+    "print(\"\\nTabela Transformada:\")\n",
+    "print(df_pivot)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['country', 'state', 'municipality', 'municipality - state',\n",
+       "       'geocode', 'Ano', '1.1. Forest Formation', '1.2. Savanna Formation',\n",
+       "       '1.4 Floodable Forest', '2.1. Wetland', '2.2. Grassland',\n",
+       "       '2.4. Rocky Outcrop', '3.1. Pasture', '3.2. Agriculture',\n",
+       "       '3.3. Forest Plantation', '3.4. Mosaic of Uses', '4.2. Urban Area',\n",
+       "       '4.3. Mining', '4.4. Other non Vegetated Areas',\n",
+       "       '5.1. River, Lake and Ocean', '5.2. Aquaculture', '6. Not Observed'],\n",
+       "      dtype='object', name='class_level_2')"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pivot.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -553,78 +1040,150 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Estados</th>\n",
+       "      <th>class_level_2</th>\n",
+       "      <th>country</th>\n",
+       "      <th>state</th>\n",
+       "      <th>municipality</th>\n",
+       "      <th>municipality - state</th>\n",
+       "      <th>geocode</th>\n",
        "      <th>Ano</th>\n",
-       "      <th>Floresta</th>\n",
-       "      <th>Formação Florestal não Natural</th>\n",
-       "      <th>Agropecuária</th>\n",
-       "      <th>Área sem Vegetação</th>\n",
-       "      <th>Água e Ambientes Marinhos</th>\n",
-       "      <th>Não Observado</th>\n",
-       "      <th>Área Total do Território</th>\n",
+       "      <th>1.1. Forest Formation</th>\n",
+       "      <th>1.2. Savanna Formation</th>\n",
+       "      <th>1.4 Floodable Forest</th>\n",
+       "      <th>2.1. Wetland</th>\n",
+       "      <th>...</th>\n",
+       "      <th>3.1. Pasture</th>\n",
+       "      <th>3.2. Agriculture</th>\n",
+       "      <th>3.3. Forest Plantation</th>\n",
+       "      <th>3.4. Mosaic of Uses</th>\n",
+       "      <th>4.2. Urban Area</th>\n",
+       "      <th>4.3. Mining</th>\n",
+       "      <th>4.4. Other non Vegetated Areas</th>\n",
+       "      <th>5.1. River, Lake and Ocean</th>\n",
+       "      <th>5.2. Aquaculture</th>\n",
+       "      <th>6. Not Observed</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1985</td>\n",
-       "      <td>15918508,29</td>\n",
-       "      <td>11922,92904</td>\n",
-       "      <td>402816,0969</td>\n",
-       "      <td>14638,38808</td>\n",
-       "      <td>50422,82587</td>\n",
-       "      <td>146,6513944</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>170522.5630</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1801.208313</td>\n",
+       "      <td>16.031937</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8103.505678</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>23.335473</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>299.227178</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>17.875955</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1986</td>\n",
-       "      <td>15881885,29</td>\n",
-       "      <td>9850,676311</td>\n",
-       "      <td>437474,7958</td>\n",
-       "      <td>15349,86116</td>\n",
-       "      <td>53745,53548</td>\n",
-       "      <td>149,0280831</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>168465.1393</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1790.288667</td>\n",
+       "      <td>16.824668</td>\n",
+       "      <td>...</td>\n",
+       "      <td>10161.630190</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>28.710089</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>312.789810</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>17.083500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1987</td>\n",
-       "      <td>15838227,39</td>\n",
-       "      <td>9018,689428</td>\n",
-       "      <td>480835,9498</td>\n",
-       "      <td>15630,80237</td>\n",
-       "      <td>54589,016</td>\n",
-       "      <td>153,3344648</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>165330.0293</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1788.615343</td>\n",
+       "      <td>11.891430</td>\n",
+       "      <td>...</td>\n",
+       "      <td>13294.535860</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>46.853513</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>302.046240</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>18.844803</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1988</td>\n",
-       "      <td>15797524,44</td>\n",
-       "      <td>8686,99566</td>\n",
-       "      <td>520703,4497</td>\n",
-       "      <td>16005,41658</td>\n",
-       "      <td>55383,91165</td>\n",
-       "      <td>150,9717255</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>162561.2052</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1781.130176</td>\n",
+       "      <td>13.477307</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16073.930880</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>55.307212</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>300.197710</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>20.165666</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1989</td>\n",
-       "      <td>15755800,9</td>\n",
-       "      <td>8200,103747</td>\n",
-       "      <td>561748,7375</td>\n",
-       "      <td>16482,26265</td>\n",
-       "      <td>56073,35464</td>\n",
-       "      <td>149,8219251</td>\n",
-       "      <td>16398455,19</td>\n",
+       "      <td>160772.1833</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>1767.922274</td>\n",
+       "      <td>14.710258</td>\n",
+       "      <td>...</td>\n",
+       "      <td>17871.934600</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>58.389454</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>310.854326</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>16.995933</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -637,138 +1196,290 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>112</th>\n",
-       "      <td>Rondônia</td>\n",
+       "      <th>5299</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2019</td>\n",
-       "      <td>13877352,63</td>\n",
-       "      <td>1011290,518</td>\n",
-       "      <td>8562130,624</td>\n",
-       "      <td>71275,86336</td>\n",
-       "      <td>241224,4048</td>\n",
-       "      <td>8,980761792</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <td>885322.6255</td>\n",
+       "      <td>84258.28322</td>\n",
+       "      <td>2122.713964</td>\n",
+       "      <td>401.586339</td>\n",
+       "      <td>...</td>\n",
+       "      <td>125673.176900</td>\n",
+       "      <td>23270.111604</td>\n",
+       "      <td>727.527206</td>\n",
+       "      <td>3245.701787</td>\n",
+       "      <td>4115.133357</td>\n",
+       "      <td>82.554226</td>\n",
+       "      <td>2694.843632</td>\n",
+       "      <td>831.980596</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>113</th>\n",
-       "      <td>Rondônia</td>\n",
+       "      <th>5300</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2020</td>\n",
-       "      <td>13715719,14</td>\n",
-       "      <td>1025097,828</td>\n",
-       "      <td>8720937,306</td>\n",
-       "      <td>72100,63356</td>\n",
-       "      <td>229418,2573</td>\n",
-       "      <td>9,86258656</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <td>881559.5805</td>\n",
+       "      <td>84482.63948</td>\n",
+       "      <td>2140.127845</td>\n",
+       "      <td>302.518828</td>\n",
+       "      <td>...</td>\n",
+       "      <td>127974.069600</td>\n",
+       "      <td>23297.723967</td>\n",
+       "      <td>719.064729</td>\n",
+       "      <td>4476.595533</td>\n",
+       "      <td>4195.853466</td>\n",
+       "      <td>81.239661</td>\n",
+       "      <td>2770.820473</td>\n",
+       "      <td>775.193975</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>Rondônia</td>\n",
+       "      <th>5301</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2021</td>\n",
-       "      <td>13490404,85</td>\n",
-       "      <td>1031623,097</td>\n",
-       "      <td>8934740,963</td>\n",
-       "      <td>74098,56013</td>\n",
-       "      <td>232405,2638</td>\n",
-       "      <td>10,29367188</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <td>880230.5709</td>\n",
+       "      <td>83785.28473</td>\n",
+       "      <td>2137.584947</td>\n",
+       "      <td>291.264539</td>\n",
+       "      <td>...</td>\n",
+       "      <td>129291.502900</td>\n",
+       "      <td>23289.504624</td>\n",
+       "      <td>790.578701</td>\n",
+       "      <td>4852.319592</td>\n",
+       "      <td>4204.316648</td>\n",
+       "      <td>572.199877</td>\n",
+       "      <td>2684.583949</td>\n",
+       "      <td>719.791785</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>Rondônia</td>\n",
+       "      <th>5302</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2022</td>\n",
-       "      <td>13248533,18</td>\n",
-       "      <td>1000377,137</td>\n",
-       "      <td>9187011,254</td>\n",
-       "      <td>75704,06195</td>\n",
-       "      <td>251638,7489</td>\n",
-       "      <td>18,64172961</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <td>877310.5048</td>\n",
+       "      <td>81527.18220</td>\n",
+       "      <td>2097.129301</td>\n",
+       "      <td>169.672293</td>\n",
+       "      <td>...</td>\n",
+       "      <td>133943.084800</td>\n",
+       "      <td>23255.731117</td>\n",
+       "      <td>789.705872</td>\n",
+       "      <td>5982.102443</td>\n",
+       "      <td>4207.719922</td>\n",
+       "      <td>613.328484</td>\n",
+       "      <td>3328.265295</td>\n",
+       "      <td>924.152837</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>116</th>\n",
-       "      <td>Rondônia</td>\n",
+       "      <th>5303</th>\n",
+       "      <td>Brasil</td>\n",
+       "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2023</td>\n",
-       "      <td>12966273,08</td>\n",
-       "      <td>1019635,625</td>\n",
-       "      <td>9444910,993</td>\n",
-       "      <td>83124,05088</td>\n",
-       "      <td>249319,2082</td>\n",
-       "      <td>20,06310344</td>\n",
-       "      <td>23763283,02</td>\n",
+       "      <td>874103.4921</td>\n",
+       "      <td>76439.45258</td>\n",
+       "      <td>2094.621416</td>\n",
+       "      <td>146.971802</td>\n",
+       "      <td>...</td>\n",
+       "      <td>141784.246900</td>\n",
+       "      <td>23250.517614</td>\n",
+       "      <td>790.753327</td>\n",
+       "      <td>7726.165218</td>\n",
+       "      <td>4242.011188</td>\n",
+       "      <td>614.903454</td>\n",
+       "      <td>4974.397060</td>\n",
+       "      <td>928.681098</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>117 rows × 9 columns</p>\n",
+       "<p>5304 rows × 22 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      Estados   Ano     Floresta Formação Florestal não Natural Agropecuária  \\\n",
-       "0        Acre  1985  15918508,29                    11922,92904  402816,0969   \n",
-       "1        Acre  1986  15881885,29                    9850,676311  437474,7958   \n",
-       "2        Acre  1987  15838227,39                    9018,689428  480835,9498   \n",
-       "3        Acre  1988  15797524,44                     8686,99566  520703,4497   \n",
-       "4        Acre  1989   15755800,9                    8200,103747  561748,7375   \n",
-       "..        ...   ...          ...                            ...          ...   \n",
-       "112  Rondônia  2019  13877352,63                    1011290,518  8562130,624   \n",
-       "113  Rondônia  2020  13715719,14                    1025097,828  8720937,306   \n",
-       "114  Rondônia  2021  13490404,85                    1031623,097  8934740,963   \n",
-       "115  Rondônia  2022  13248533,18                    1000377,137  9187011,254   \n",
-       "116  Rondônia  2023  12966273,08                    1019635,625  9444910,993   \n",
+       "class_level_2 country      state municipality municipality - state  \\\n",
+       "0                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+       "1                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+       "2                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+       "3                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+       "4                 Brasil       Acre  Acrelândia     Acrelândia - AC   \n",
+       "...                  ...        ...          ...                  ...   \n",
+       "5299              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+       "5300              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+       "5301              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+       "5302              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+       "5303              Brasil  Rondônia      Vilhena         Vilhena - RO   \n",
+       "\n",
+       "class_level_2  geocode   Ano  1.1. Forest Formation  1.2. Savanna Formation  \\\n",
+       "0              1200013  1985            170522.5630                 0.00000   \n",
+       "1              1200013  1986            168465.1393                 0.00000   \n",
+       "2              1200013  1987            165330.0293                 0.00000   \n",
+       "3              1200013  1988            162561.2052                 0.00000   \n",
+       "4              1200013  1989            160772.1833                 0.00000   \n",
+       "...                ...   ...                    ...                     ...   \n",
+       "5299           1100304  2019            885322.6255             84258.28322   \n",
+       "5300           1100304  2020            881559.5805             84482.63948   \n",
+       "5301           1100304  2021            880230.5709             83785.28473   \n",
+       "5302           1100304  2022            877310.5048             81527.18220   \n",
+       "5303           1100304  2023            874103.4921             76439.45258   \n",
+       "\n",
+       "class_level_2  1.4 Floodable Forest  2.1. Wetland  ...   3.1. Pasture  \\\n",
+       "0                       1801.208313     16.031937  ...    8103.505678   \n",
+       "1                       1790.288667     16.824668  ...   10161.630190   \n",
+       "2                       1788.615343     11.891430  ...   13294.535860   \n",
+       "3                       1781.130176     13.477307  ...   16073.930880   \n",
+       "4                       1767.922274     14.710258  ...   17871.934600   \n",
+       "...                             ...           ...  ...            ...   \n",
+       "5299                    2122.713964    401.586339  ...  125673.176900   \n",
+       "5300                    2140.127845    302.518828  ...  127974.069600   \n",
+       "5301                    2137.584947    291.264539  ...  129291.502900   \n",
+       "5302                    2097.129301    169.672293  ...  133943.084800   \n",
+       "5303                    2094.621416    146.971802  ...  141784.246900   \n",
+       "\n",
+       "class_level_2  3.2. Agriculture  3.3. Forest Plantation  3.4. Mosaic of Uses  \\\n",
+       "0                      0.000000                0.000000             0.000000   \n",
+       "1                      0.000000                0.000000             0.000000   \n",
+       "2                      0.000000                0.000000             0.000000   \n",
+       "3                      0.000000                0.000000             0.000000   \n",
+       "4                      0.000000                0.000000             0.000000   \n",
+       "...                         ...                     ...                  ...   \n",
+       "5299               23270.111604              727.527206          3245.701787   \n",
+       "5300               23297.723967              719.064729          4476.595533   \n",
+       "5301               23289.504624              790.578701          4852.319592   \n",
+       "5302               23255.731117              789.705872          5982.102443   \n",
+       "5303               23250.517614              790.753327          7726.165218   \n",
        "\n",
-       "    Área sem Vegetação Água e Ambientes Marinhos Não Observado  \\\n",
-       "0          14638,38808               50422,82587   146,6513944   \n",
-       "1          15349,86116               53745,53548   149,0280831   \n",
-       "2          15630,80237                 54589,016   153,3344648   \n",
-       "3          16005,41658               55383,91165   150,9717255   \n",
-       "4          16482,26265               56073,35464   149,8219251   \n",
-       "..                 ...                       ...           ...   \n",
-       "112        71275,86336               241224,4048   8,980761792   \n",
-       "113        72100,63356               229418,2573    9,86258656   \n",
-       "114        74098,56013               232405,2638   10,29367188   \n",
-       "115        75704,06195               251638,7489   18,64172961   \n",
-       "116        83124,05088               249319,2082   20,06310344   \n",
+       "class_level_2  4.2. Urban Area  4.3. Mining  4.4. Other non Vegetated Areas  \\\n",
+       "0                    23.335473     0.000000                        0.000000   \n",
+       "1                    28.710089     0.000000                        0.000000   \n",
+       "2                    46.853513     0.000000                        0.000000   \n",
+       "3                    55.307212     0.000000                        0.000000   \n",
+       "4                    58.389454     0.000000                        0.000000   \n",
+       "...                        ...          ...                             ...   \n",
+       "5299               4115.133357    82.554226                     2694.843632   \n",
+       "5300               4195.853466    81.239661                     2770.820473   \n",
+       "5301               4204.316648   572.199877                     2684.583949   \n",
+       "5302               4207.719922   613.328484                     3328.265295   \n",
+       "5303               4242.011188   614.903454                     4974.397060   \n",
        "\n",
-       "    Área Total do Território  \n",
-       "0                16398455,19  \n",
-       "1                16398455,19  \n",
-       "2                16398455,19  \n",
-       "3                16398455,19  \n",
-       "4                16398455,19  \n",
-       "..                       ...  \n",
-       "112              23763283,02  \n",
-       "113              23763283,02  \n",
-       "114              23763283,02  \n",
-       "115              23763283,02  \n",
-       "116              23763283,02  \n",
+       "class_level_2  5.1. River, Lake and Ocean  5.2. Aquaculture  6. Not Observed  \n",
+       "0                              299.227178               0.0        17.875955  \n",
+       "1                              312.789810               0.0        17.083500  \n",
+       "2                              302.046240               0.0        18.844803  \n",
+       "3                              300.197710               0.0        20.165666  \n",
+       "4                              310.854326               0.0        16.995933  \n",
+       "...                                   ...               ...              ...  \n",
+       "5299                           831.980596               0.0         0.000000  \n",
+       "5300                           775.193975               0.0         0.000000  \n",
+       "5301                           719.791785               0.0         0.000000  \n",
+       "5302                           924.152837               0.0         0.000000  \n",
+       "5303                           928.681098               0.0         0.000000  \n",
        "\n",
-       "[117 rows x 9 columns]"
+       "[5304 rows x 22 columns]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.head(10000)"
+    "df_pivot.head(100000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "class_level_2\n",
+       "country                        0\n",
+       "state                             0\n",
+       "municipality                      0\n",
+       "municipality - state              0\n",
+       "geocode                           0\n",
+       "Ano                               0\n",
+       "1.1. Forest Formation             0\n",
+       "1.2. Savanna Formation            0\n",
+       "1.4 Floodable Forest              0\n",
+       "2.1. Wetland                      0\n",
+       "2.2. Grassland                    0\n",
+       "2.4. Rocky Outcrop                0\n",
+       "3.1. Pasture                      0\n",
+       "3.2. Agriculture                  0\n",
+       "3.3. Forest Plantation            0\n",
+       "3.4. Mosaic of Uses               0\n",
+       "4.2. Urban Area                   0\n",
+       "4.3. Mining                       0\n",
+       "4.4. Other non Vegetated Areas    0\n",
+       "5.1. River, Lake and Ocean        0\n",
+       "5.2. Aquaculture                  0\n",
+       "6. Not Observed                   0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_pivot.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
-    "for column in df.columns:\n",
-    "    if df[column].dtype == 'object' and column not in ['Ano', 'Estados']:\n",
-    "        df[column] = df[column].str.replace(',', '.').str.replace(' ', '').astype(float)"
+    "df_pivot['Estado'] = df_pivot['Estado'].replace(['Rondônia'], 'Rondônia')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -791,78 +1502,150 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Estados</th>\n",
+       "      <th>class_level_2</th>\n",
+       "      <th>País</th>\n",
+       "      <th>Estado</th>\n",
+       "      <th>Município</th>\n",
+       "      <th>Município - Estado</th>\n",
+       "      <th>Geocódigo</th>\n",
        "      <th>Ano</th>\n",
-       "      <th>Floresta</th>\n",
-       "      <th>Formação Florestal não Natural</th>\n",
-       "      <th>Agropecuária</th>\n",
-       "      <th>Área sem Vegetação</th>\n",
-       "      <th>Água e Ambientes Marinhos</th>\n",
+       "      <th>Formação Florestal</th>\n",
+       "      <th>Formação De Savana</th>\n",
+       "      <th>Floresta Alagável</th>\n",
+       "      <th>Área Pantanosa</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Pastagem</th>\n",
+       "      <th>Agricultura</th>\n",
+       "      <th>Silvicultura</th>\n",
+       "      <th>Mosaico De Usos</th>\n",
+       "      <th>Área Urbana</th>\n",
+       "      <th>Mineração</th>\n",
+       "      <th>Outras Áreas Não Vegetadas</th>\n",
+       "      <th>Rio, Lago E Oceano</th>\n",
+       "      <th>Aquicultura</th>\n",
        "      <th>Não Observado</th>\n",
-       "      <th>Área Total do Território</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1985</td>\n",
-       "      <td>15918508.29</td>\n",
-       "      <td>1.192293e+04</td>\n",
-       "      <td>4.028161e+05</td>\n",
-       "      <td>14638.38808</td>\n",
-       "      <td>50422.82587</td>\n",
-       "      <td>146.651394</td>\n",
-       "      <td>16398455.19</td>\n",
+       "      <td>170,522.56</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1,801.21</td>\n",
+       "      <td>16.03</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8,103.51</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>23.34</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>299.23</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>17.88</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1986</td>\n",
-       "      <td>15881885.29</td>\n",
-       "      <td>9.850676e+03</td>\n",
-       "      <td>4.374748e+05</td>\n",
-       "      <td>15349.86116</td>\n",
-       "      <td>53745.53548</td>\n",
-       "      <td>149.028083</td>\n",
-       "      <td>16398455.19</td>\n",
+       "      <td>168,465.14</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1,790.29</td>\n",
+       "      <td>16.82</td>\n",
+       "      <td>...</td>\n",
+       "      <td>10,161.63</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>28.71</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>312.79</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>17.08</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1987</td>\n",
-       "      <td>15838227.39</td>\n",
-       "      <td>9.018689e+03</td>\n",
-       "      <td>4.808359e+05</td>\n",
-       "      <td>15630.80237</td>\n",
-       "      <td>54589.01600</td>\n",
-       "      <td>153.334465</td>\n",
-       "      <td>16398455.19</td>\n",
+       "      <td>165,330.03</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1,788.62</td>\n",
+       "      <td>11.89</td>\n",
+       "      <td>...</td>\n",
+       "      <td>13,294.54</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>46.85</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>302.05</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>18.84</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1988</td>\n",
-       "      <td>15797524.44</td>\n",
-       "      <td>8.686996e+03</td>\n",
-       "      <td>5.207034e+05</td>\n",
-       "      <td>16005.41658</td>\n",
-       "      <td>55383.91165</td>\n",
-       "      <td>150.971725</td>\n",
-       "      <td>16398455.19</td>\n",
+       "      <td>162,561.21</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1,781.13</td>\n",
+       "      <td>13.48</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16,073.93</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>55.31</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>300.20</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>20.17</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Acre</td>\n",
+       "      <td>Acrelândia</td>\n",
+       "      <td>Acrelândia - AC</td>\n",
+       "      <td>1200013</td>\n",
        "      <td>1989</td>\n",
-       "      <td>15755800.90</td>\n",
-       "      <td>8.200104e+03</td>\n",
-       "      <td>5.617487e+05</td>\n",
-       "      <td>16482.26265</td>\n",
-       "      <td>56073.35464</td>\n",
-       "      <td>149.821925</td>\n",
-       "      <td>16398455.19</td>\n",
+       "      <td>160,772.18</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1,767.92</td>\n",
+       "      <td>14.71</td>\n",
+       "      <td>...</td>\n",
+       "      <td>17,871.93</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>310.85</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>17.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -875,310 +1658,434 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>112</th>\n",
+       "      <th>5299</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2019</td>\n",
-       "      <td>13877352.63</td>\n",
-       "      <td>1.011291e+06</td>\n",
-       "      <td>8.562131e+06</td>\n",
-       "      <td>71275.86336</td>\n",
-       "      <td>241224.40480</td>\n",
-       "      <td>8.980762</td>\n",
-       "      <td>23763283.02</td>\n",
+       "      <td>885,322.63</td>\n",
+       "      <td>84,258.28</td>\n",
+       "      <td>2,122.71</td>\n",
+       "      <td>401.59</td>\n",
+       "      <td>...</td>\n",
+       "      <td>125,673.18</td>\n",
+       "      <td>23,270.11</td>\n",
+       "      <td>727.53</td>\n",
+       "      <td>3,245.70</td>\n",
+       "      <td>4,115.13</td>\n",
+       "      <td>82.55</td>\n",
+       "      <td>2,694.84</td>\n",
+       "      <td>831.98</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>113</th>\n",
+       "      <th>5300</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2020</td>\n",
-       "      <td>13715719.14</td>\n",
-       "      <td>1.025098e+06</td>\n",
-       "      <td>8.720937e+06</td>\n",
-       "      <td>72100.63356</td>\n",
-       "      <td>229418.25730</td>\n",
-       "      <td>9.862587</td>\n",
-       "      <td>23763283.02</td>\n",
+       "      <td>881,559.58</td>\n",
+       "      <td>84,482.64</td>\n",
+       "      <td>2,140.13</td>\n",
+       "      <td>302.52</td>\n",
+       "      <td>...</td>\n",
+       "      <td>127,974.07</td>\n",
+       "      <td>23,297.72</td>\n",
+       "      <td>719.06</td>\n",
+       "      <td>4,476.60</td>\n",
+       "      <td>4,195.85</td>\n",
+       "      <td>81.24</td>\n",
+       "      <td>2,770.82</td>\n",
+       "      <td>775.19</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
+       "      <th>5301</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2021</td>\n",
-       "      <td>13490404.85</td>\n",
-       "      <td>1.031623e+06</td>\n",
-       "      <td>8.934741e+06</td>\n",
-       "      <td>74098.56013</td>\n",
-       "      <td>232405.26380</td>\n",
-       "      <td>10.293672</td>\n",
-       "      <td>23763283.02</td>\n",
+       "      <td>880,230.57</td>\n",
+       "      <td>83,785.28</td>\n",
+       "      <td>2,137.58</td>\n",
+       "      <td>291.26</td>\n",
+       "      <td>...</td>\n",
+       "      <td>129,291.50</td>\n",
+       "      <td>23,289.50</td>\n",
+       "      <td>790.58</td>\n",
+       "      <td>4,852.32</td>\n",
+       "      <td>4,204.32</td>\n",
+       "      <td>572.20</td>\n",
+       "      <td>2,684.58</td>\n",
+       "      <td>719.79</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
+       "      <th>5302</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2022</td>\n",
-       "      <td>13248533.18</td>\n",
-       "      <td>1.000377e+06</td>\n",
-       "      <td>9.187011e+06</td>\n",
-       "      <td>75704.06195</td>\n",
-       "      <td>251638.74890</td>\n",
-       "      <td>18.641730</td>\n",
-       "      <td>23763283.02</td>\n",
+       "      <td>877,310.50</td>\n",
+       "      <td>81,527.18</td>\n",
+       "      <td>2,097.13</td>\n",
+       "      <td>169.67</td>\n",
+       "      <td>...</td>\n",
+       "      <td>133,943.08</td>\n",
+       "      <td>23,255.73</td>\n",
+       "      <td>789.71</td>\n",
+       "      <td>5,982.10</td>\n",
+       "      <td>4,207.72</td>\n",
+       "      <td>613.33</td>\n",
+       "      <td>3,328.27</td>\n",
+       "      <td>924.15</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>116</th>\n",
+       "      <th>5303</th>\n",
+       "      <td>Brasil</td>\n",
        "      <td>Rondônia</td>\n",
+       "      <td>Vilhena</td>\n",
+       "      <td>Vilhena - RO</td>\n",
+       "      <td>1100304</td>\n",
        "      <td>2023</td>\n",
-       "      <td>12966273.08</td>\n",
-       "      <td>1.019636e+06</td>\n",
-       "      <td>9.444911e+06</td>\n",
-       "      <td>83124.05088</td>\n",
-       "      <td>249319.20820</td>\n",
-       "      <td>20.063103</td>\n",
-       "      <td>23763283.02</td>\n",
+       "      <td>874,103.49</td>\n",
+       "      <td>76,439.45</td>\n",
+       "      <td>2,094.62</td>\n",
+       "      <td>146.97</td>\n",
+       "      <td>...</td>\n",
+       "      <td>141,784.25</td>\n",
+       "      <td>23,250.52</td>\n",
+       "      <td>790.75</td>\n",
+       "      <td>7,726.17</td>\n",
+       "      <td>4,242.01</td>\n",
+       "      <td>614.90</td>\n",
+       "      <td>4,974.40</td>\n",
+       "      <td>928.68</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>117 rows × 9 columns</p>\n",
+       "<p>5304 rows × 22 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "      Estados   Ano     Floresta  Formação Florestal não Natural  \\\n",
-       "0        Acre  1985  15918508.29                    1.192293e+04   \n",
-       "1        Acre  1986  15881885.29                    9.850676e+03   \n",
-       "2        Acre  1987  15838227.39                    9.018689e+03   \n",
-       "3        Acre  1988  15797524.44                    8.686996e+03   \n",
-       "4        Acre  1989  15755800.90                    8.200104e+03   \n",
-       "..        ...   ...          ...                             ...   \n",
-       "112  Rondônia  2019  13877352.63                    1.011291e+06   \n",
-       "113  Rondônia  2020  13715719.14                    1.025098e+06   \n",
-       "114  Rondônia  2021  13490404.85                    1.031623e+06   \n",
-       "115  Rondônia  2022  13248533.18                    1.000377e+06   \n",
-       "116  Rondônia  2023  12966273.08                    1.019636e+06   \n",
+       "class_level_2    País    Estado    Município Município - Estado  Geocódigo  \\\n",
+       "0              Brasil      Acre  Acrelândia   Acrelândia - AC    1200013   \n",
+       "1              Brasil      Acre  Acrelândia   Acrelândia - AC    1200013   \n",
+       "2              Brasil      Acre  Acrelândia   Acrelândia - AC    1200013   \n",
+       "3              Brasil      Acre  Acrelândia   Acrelândia - AC    1200013   \n",
+       "4              Brasil      Acre  Acrelândia   Acrelândia - AC    1200013   \n",
+       "...               ...       ...          ...                ...        ...   \n",
+       "5299           Brasil  Rondônia      Vilhena       Vilhena - RO    1100304   \n",
+       "5300           Brasil  Rondônia      Vilhena       Vilhena - RO    1100304   \n",
+       "5301           Brasil  Rondônia      Vilhena       Vilhena - RO    1100304   \n",
+       "5302           Brasil  Rondônia      Vilhena       Vilhena - RO    1100304   \n",
+       "5303           Brasil  Rondônia      Vilhena       Vilhena - RO    1100304   \n",
+       "\n",
+       "class_level_2   Ano  Formação Florestal  Formação De Savana  \\\n",
+       "0              1985          170,522.56                0.00   \n",
+       "1              1986          168,465.14                0.00   \n",
+       "2              1987          165,330.03                0.00   \n",
+       "3              1988          162,561.21                0.00   \n",
+       "4              1989          160,772.18                0.00   \n",
+       "...             ...                 ...                 ...   \n",
+       "5299           2019          885,322.63           84,258.28   \n",
+       "5300           2020          881,559.58           84,482.64   \n",
+       "5301           2021          880,230.57           83,785.28   \n",
+       "5302           2022          877,310.50           81,527.18   \n",
+       "5303           2023          874,103.49           76,439.45   \n",
+       "\n",
+       "class_level_2  Floresta Alagável  Área Pantanosa  ...   Pastagem  Agricultura  \\\n",
+       "0                       1,801.21           16.03  ...   8,103.51         0.00   \n",
+       "1                       1,790.29           16.82  ...  10,161.63         0.00   \n",
+       "2                       1,788.62           11.89  ...  13,294.54         0.00   \n",
+       "3                       1,781.13           13.48  ...  16,073.93         0.00   \n",
+       "4                       1,767.92           14.71  ...  17,871.93         0.00   \n",
+       "...                          ...             ...  ...        ...          ...   \n",
+       "5299                    2,122.71          401.59  ... 125,673.18    23,270.11   \n",
+       "5300                    2,140.13          302.52  ... 127,974.07    23,297.72   \n",
+       "5301                    2,137.58          291.26  ... 129,291.50    23,289.50   \n",
+       "5302                    2,097.13          169.67  ... 133,943.08    23,255.73   \n",
+       "5303                    2,094.62          146.97  ... 141,784.25    23,250.52   \n",
+       "\n",
+       "class_level_2  Silvicultura  Mosaico De Usos  Área Urbana  Mineração  \\\n",
+       "0                      0.00             0.00        23.34       0.00   \n",
+       "1                      0.00             0.00        28.71       0.00   \n",
+       "2                      0.00             0.00        46.85       0.00   \n",
+       "3                      0.00             0.00        55.31       0.00   \n",
+       "4                      0.00             0.00        58.39       0.00   \n",
+       "...                     ...              ...          ...        ...   \n",
+       "5299                 727.53         3,245.70     4,115.13      82.55   \n",
+       "5300                 719.06         4,476.60     4,195.85      81.24   \n",
+       "5301                 790.58         4,852.32     4,204.32     572.20   \n",
+       "5302                 789.71         5,982.10     4,207.72     613.33   \n",
+       "5303                 790.75         7,726.17     4,242.01     614.90   \n",
        "\n",
-       "     Agropecuária  Área sem Vegetação  Água e Ambientes Marinhos  \\\n",
-       "0    4.028161e+05         14638.38808                50422.82587   \n",
-       "1    4.374748e+05         15349.86116                53745.53548   \n",
-       "2    4.808359e+05         15630.80237                54589.01600   \n",
-       "3    5.207034e+05         16005.41658                55383.91165   \n",
-       "4    5.617487e+05         16482.26265                56073.35464   \n",
-       "..            ...                 ...                        ...   \n",
-       "112  8.562131e+06         71275.86336               241224.40480   \n",
-       "113  8.720937e+06         72100.63356               229418.25730   \n",
-       "114  8.934741e+06         74098.56013               232405.26380   \n",
-       "115  9.187011e+06         75704.06195               251638.74890   \n",
-       "116  9.444911e+06         83124.05088               249319.20820   \n",
+       "class_level_2  Outras Áreas Não Vegetadas  Rio, Lago E Oceano  Aquicultura  \\\n",
+       "0                                    0.00              299.23         0.00   \n",
+       "1                                    0.00              312.79         0.00   \n",
+       "2                                    0.00              302.05         0.00   \n",
+       "3                                    0.00              300.20         0.00   \n",
+       "4                                    0.00              310.85         0.00   \n",
+       "...                                   ...                 ...          ...   \n",
+       "5299                             2,694.84              831.98         0.00   \n",
+       "5300                             2,770.82              775.19         0.00   \n",
+       "5301                             2,684.58              719.79         0.00   \n",
+       "5302                             3,328.27              924.15         0.00   \n",
+       "5303                             4,974.40              928.68         0.00   \n",
        "\n",
-       "     Não Observado  Área Total do Território  \n",
-       "0       146.651394               16398455.19  \n",
-       "1       149.028083               16398455.19  \n",
-       "2       153.334465               16398455.19  \n",
-       "3       150.971725               16398455.19  \n",
-       "4       149.821925               16398455.19  \n",
-       "..             ...                       ...  \n",
-       "112       8.980762               23763283.02  \n",
-       "113       9.862587               23763283.02  \n",
-       "114      10.293672               23763283.02  \n",
-       "115      18.641730               23763283.02  \n",
-       "116      20.063103               23763283.02  \n",
+       "class_level_2  Não Observado  \n",
+       "0                      17.88  \n",
+       "1                      17.08  \n",
+       "2                      18.84  \n",
+       "3                      20.17  \n",
+       "4                      17.00  \n",
+       "...                      ...  \n",
+       "5299                    0.00  \n",
+       "5300                    0.00  \n",
+       "5301                    0.00  \n",
+       "5302                    0.00  \n",
+       "5303                    0.00  \n",
        "\n",
-       "[117 rows x 9 columns]"
+       "[5304 rows x 22 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.head(10000)"
+    "df_pivot.head(100000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.options.display.float_format = '{:,.2f}'.format"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_pivot.rename(columns={\n",
+    "    'country': 'País',\n",
+    "    'state': 'Estado',\n",
+    "    'municipality': 'Município',\n",
+    "    'municipality - state': 'Município - Estado',\n",
+    "    'geocode': 'Geocódigo',\n",
+    "    'feature_id': 'ID Da Característica',\n",
+    "    'Ano': 'Ano',\n",
+    "    '1.1. Forest Formation': 'Formação Florestal',\n",
+    "    '1.2. Savanna Formation': 'Formação De Savana',\n",
+    "    '1.4 Floodable Forest': 'Floresta Alagável',\n",
+    "    '2.1. Wetland': 'Área Pantanosa',\n",
+    "    '2.2. Grassland': 'Formação Campestre',\n",
+    "    '2.4. Rocky Outcrop': 'Afloramento Rochoso',\n",
+    "    '3.1. Pasture': 'Pastagem',\n",
+    "    '3.2. Agriculture': 'Agricultura',\n",
+    "    '3.3. Forest Plantation': 'Silvicultura',\n",
+    "    '3.4. Mosaic of Uses': 'Mosaico De Usos',\n",
+    "    '4.2. Urban Area': 'Área Urbana',\n",
+    "    '4.3. Mining': 'Mineração',\n",
+    "    '4.4. Other non Vegetated Areas': 'Outras Áreas Não Vegetadas',\n",
+    "    '5.1. River, Lake and Ocean': 'Rio, Lago E Oceano',\n",
+    "    '5.2. Aquaculture': 'Aquicultura',\n",
+    "    '6. Not Observed': 'Não Observado'\n",
+    "}, inplace=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Estados                            object\n",
-       "Ano                                 int64\n",
-       "Floresta                          float64\n",
-       "Formação Florestal não Natural    float64\n",
-       "Agropecuária                      float64\n",
-       "Área sem Vegetação                float64\n",
-       "Água e Ambientes Marinhos         float64\n",
-       "Não Observado                     float64\n",
-       "Área Total do Território          float64\n",
-       "dtype: object"
+       "Index(['País', 'Estado', 'Município', 'Município - Estado', 'Geocódigo', 'Ano',\n",
+       "       'Formação Florestal', 'Formação De Savana', 'Floresta Alagável',\n",
+       "       'Área Pantanosa', 'Formação Campestre', 'Afloramento Rochoso',\n",
+       "       'Pastagem', 'Agricultura', 'Silvicultura', 'Mosaico De Usos',\n",
+       "       'Área Urbana', 'Mineração', 'Outras Áreas Não Vegetadas',\n",
+       "       'Rio, Lago E Oceano', 'Aquicultura', 'Não Observado'],\n",
+       "      dtype='object', name='class_level_2')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.dtypes"
+    "df_pivot.columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "Estados                           0\n",
-       "Ano                               0\n",
-       "Floresta                          0\n",
-       "Formação Florestal não Natural    0\n",
-       "Agropecuária                      0\n",
-       "Área sem Vegetação                0\n",
-       "Água e Ambientes Marinhos         0\n",
-       "Não Observado                     0\n",
-       "Área Total do Território          0\n",
-       "dtype: int64"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
-     "execution_count": 15,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "df.isnull().sum()"
+    "# Criando gráfico\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.bar(df_pivot['Estado'], df_pivot['Formação Florestal'], color='green')\n",
+    "plt.title('Área de Formação Florestal por Estado')\n",
+    "plt.xlabel('Estados')\n",
+    "plt.ylabel('Área de Formação Florestal (hectares)')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "dados_1985 = df[df['Ano'] == 1985]\n",
-    "soma_area_vegetada_1985 = dados_1985['Floresta'].sum()\n",
-    "soma_area_agropecuaria_1985 = dados_1985['Agropecuária'].sum()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Soma da Área Vegetada em 1985: 184967793.74 ha\n",
-      "Soma da Área Agropecuária em 1985: 2248604.10 ha\n"
-     ]
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "print(f\"Soma da Área Vegetada em 1985: {soma_area_vegetada_1985:.2f} ha\")\n",
-    "print(f\"Soma da Área Agropecuária em 1985: {soma_area_agropecuaria_1985:.2f} ha\")"
+    "plt.figure(figsize=(10, 5))\n",
+    "plt.bar(df_pivot['Estado'], df_pivot['Agricultura'], color='brown')  # Gráfico de barras\n",
+    "\n",
+    "plt.title('Área de Agricultura por Estado')\n",
+    "plt.xlabel('Estados')\n",
+    "plt.ylabel('Área de Agricultura (hectares)')\n",
+    "\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Soma da Área Vegetada em 2023: 172085602.04 ha\n",
-      "Soma da Área Agropecuária em 2023: 14893604.23 ha\n"
-     ]
+     "data": {
+      "text/plain": [
+       "Index(['País', 'Estado', 'Município', 'Município - Estado', 'Geocódigo', 'Ano',\n",
+       "       'Formação Florestal', 'Formação De Savana', 'Floresta Alagável',\n",
+       "       'Área Pantanosa', 'Formação Campestre', 'Afloramento Rochoso',\n",
+       "       'Pastagem', 'Agricultura', 'Silvicultura', 'Mosaico De Usos',\n",
+       "       'Área Urbana', 'Mineração', 'Outras Áreas Não Vegetadas',\n",
+       "       'Rio, Lago E Oceano', 'Aquicultura', 'Não Observado'],\n",
+       "      dtype='object', name='class_level_2')"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "dados_2023 = df[df['Ano'] == 2023]\n",
-    "soma_area_vegetada = dados_2023['Floresta'].sum()\n",
-    "soma_area_agropecuaria = dados_2023['Agropecuária'].sum()\n",
-    "print(f\"Soma da Área Vegetada em 2023: {soma_area_vegetada:.2f} ha\")\n",
-    "print(f\"Soma da Área Agropecuária em 2023: {soma_area_agropecuaria:.2f} ha\")"
+    "df_pivot.columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Soma da Área Vegetada em km²: 1720856.02 km²\n",
-      "Soma da Área Agropecuária em km²: 148936.04 km²\n"
+      "Collecting openpyxl\n",
+      "  Downloading openpyxl-3.1.5-py2.py3-none-any.whl.metadata (2.5 kB)\n",
+      "Collecting et-xmlfile (from openpyxl)\n",
+      "  Downloading et_xmlfile-1.1.0-py3-none-any.whl.metadata (1.8 kB)\n",
+      "Downloading openpyxl-3.1.5-py2.py3-none-any.whl (250 kB)\n",
+      "   ---------------------------------------- 0.0/250.9 kB ? eta -:--:--\n",
+      "   ---------------------------------------- 0.0/250.9 kB ? eta -:--:--\n",
+      "   - -------------------------------------- 10.2/250.9 kB ? eta -:--:--\n",
+      "   ---- ---------------------------------- 30.7/250.9 kB 325.1 kB/s eta 0:00:01\n",
+      "   -------------- ------------------------ 92.2/250.9 kB 655.4 kB/s eta 0:00:01\n",
+      "   ---------------------------------------  245.8/250.9 kB 1.4 MB/s eta 0:00:01\n",
+      "   ---------------------------------------- 250.9/250.9 kB 1.2 MB/s eta 0:00:00\n",
+      "Downloading et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)\n",
+      "Installing collected packages: et-xmlfile, openpyxl\n",
+      "Successfully installed et-xmlfile-1.1.0 openpyxl-3.1.5\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
      ]
-    }
-   ],
-   "source": [
-    "soma_area_floresta_km2 = soma_area_vegetada * 0.01\n",
-    "soma_area_agropecuaria_km2 = soma_area_agropecuaria * 0.01\n",
-    "print(f\"Soma da Área Vegetada em km²: {soma_area_floresta_km2:.2f} km²\")\n",
-    "print(f\"Soma da Área Agropecuária em km²: {soma_area_agropecuaria_km2:.2f} km²\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Soma da Área Vegetada em km² em 1985: 1849677.94 km²\n",
-      "Soma da Área Agropecuária em km² em 1985: 22486.04 km²\n"
+      "\n",
+      "[notice] A new release of pip is available: 24.0 -> 24.2\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
      ]
     }
    ],
    "source": [
-    "soma_area_floresta_km2_1985 = soma_area_vegetada_1985 * 0.01\n",
-    "soma_area_agropecuaria_km2_1985 = soma_area_agropecuaria_1985 * 0.01\n",
-    "print(f\"Soma da Área Vegetada em km² em 1985: {soma_area_floresta_km2_1985:.2f} km²\")\n",
-    "print(f\"Soma da Área Agropecuária em km² em 1985: {soma_area_agropecuaria_km2_1985:.2f} km²\")"
+    "pip install openpyxl"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 35,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1000x500 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "anos = ['1985', '2023']\n",
-    "areas_floresta = [soma_area_floresta_km2_1985, soma_area_floresta_km2]\n",
-    "areas_agropecuaria = [soma_area_agropecuaria_km2_1985, soma_area_agropecuaria_km2]\n",
-    "bar_width = 0.20\n",
-    "x = range(len(anos))\n",
-    "fig, ax = plt.subplots(figsize=(10, 5))\n",
-    "bar1 = ax.bar(x, areas_floresta, width=bar_width, label='Área Vegetada (Floresta)', color='#70a145', alpha=1)\n",
-    "bar2 = ax.bar([p + bar_width for p in x], areas_agropecuaria, width=bar_width, label='Área Agropecuária', color='#d8a155', alpha=1)\n",
-    "ax.set_xlabel('Ano')\n",
-    "ax.set_ylabel('Área (km²)')\n",
-    "ax.set_title('Comparação da Área Vegetada e Agropecuária em 1985 e 2023 no Acre')\n",
-    "ax.set_xticks([p + bar_width / 2 for p in x])\n",
-    "ax.set_xticklabels(anos)\n",
-    "ax.legend(title='Uso do Solo')\n",
-    "ax.grid(axis='y')\n",
-    "plt.tight_layout()\n",
-    "plt.show()"
+    "df_pivot.to_excel('df_final.xlsx', index=False)"
    ]
   }
  ],
diff --git a/material/df_final.xlsx b/material/df_final.xlsx
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HcmV?d00001

diff --git a/material/mapbiomas.csv b/material/mapbiomas.csv
deleted file mode 100644
index f1e748a..0000000
--- a/material/mapbiomas.csv
+++ /dev/null
@@ -1,118 +0,0 @@
-Estados;Ano;Floresta;Formação Florestal não Natural ;Agropecuária;Área sem Vegetação;Água e Ambientes Marinhos;Não Observado;Área Total do Território
-Acre;1985;15918508,29;11922,92904;402816,0969;14638,38808;50422,82587;146,6513944;16398455,19
-Acre;1986;15881885,29;9850,676311;437474,7958;15349,86116;53745,53548;149,0280831;16398455,19
-Acre;1987;15838227,39;9018,689428;480835,9498;15630,80237;54589,016;153,3344648;16398455,19
-Acre;1988;15797524,44;8686,99566;520703,4497;16005,41658;55383,91165;150,9717255;16398455,19
-Acre;1989;15755800,9;8200,103747;561748,7375;16482,26265;56073,35464;149,8219251;16398455,19
-Acre;1990;15729283;7928,02514;587623,9409;16867,30909;56600,35568;152,5515165;16398455,19
-Acre;1991;15694057,63;7924,839313;622427,6492;17334,90842;56559,91063;150,2505056;16398455,19
-Acre;1992;15655241,43;7865,792279;661777,6564;17498,9296;55919,45821;151,9214562;16398455,19
-Acre;1993;15610510,88;7167,296869;705752,5555;17555,47811;57316,95978;152,0108465;16398455,19
-Acre;1994;15543826,51;7432,389136;772715,1039;17680,78005;56651,90525;148,4939559;16398455,19
-Acre;1995;15482074,92;6980,035896;834533,7245;17801,22581;56917,12872;148,1454361;16398455,19
-Acre;1996;15414137,89;6439,889169;903143,75;18016,21724;56566,48634;150,9544996;16398455,19
-Acre;1997;15352295,83;6568,509131;965577,2366;18279,07245;55579,18618;155,3478637;16398455,19
-Acre;1998;15290898,34;6072,877628;1026185,324;18409,22588;56734,59427;154,8266099;16398455,19
-Acre;1999;15221795,79;5015,395835;1092196,641;18484,98881;60816,50917;145,8584817;16398455,19
-Acre;2000;15165126,22;5996,519602;1155763,219;18673,25391;52721,12523;174,8489577;16398455,19
-Acre;2001;15118714,47;6334,593928;1203467,783;18812,06418;50946,77216;179,5072545;16398455,19
-Acre;2002;15042514,86;6449,136875;1278949,032;18936,58761;51435,9831;169,5816104;16398455,19
-Acre;2003;14958964,66;6579,543891;1362777,341;19058,16654;50891,48524;183,9840279;16398455,19
-Acre;2004;14896129,23;6759,524144;1425821,987;19157,24801;50406,02535;181,1745941;16398455,19
-Acre;2005;14835330,34;7107,861247;1488306,598;19323,04253;48205,63677;181,7046431;16398455,19
-Acre;2006;14789438,25;6893,457132;1533868,505;19473,7154;48601,4033;179,852391;16398455,19
-Acre;2007;14755775,66;8336,288703;1567160,128;19643,40679;47366,3567;173,3483153;16398455,19
-Acre;2008;14718910,93;7430,174764;1603071,308;19809,04873;49054,83739;178,8826862;16398455,19
-Acre;2009;14673260,2;6975,657464;1647513,566;19950,1134;50584,85696;170,792677;16398455,19
-Acre;2010;14629583,53;9141,014833;1691957,675;20223,86278;47374,5254;174,5810245;16398455,19
-Acre;2011;14598638,78;8610,44917;1721431,738;20421,7994;49170,9788;181,4353794;16398455,19
-Acre;2012;14571691,12;9611,418892;1746073,929;20648,11198;50263,66892;166,9371036;16398455,19
-Acre;2013;14541589,87;9089,921453;1775687,009;20859,84999;51053,41615;175,1167845;16398455,19
-Acre;2014;14507760,59;9343,579809;1807460,202;21069,99082;52645,97445;174,8524138;16398455,19
-Acre;2015;14462870,34;10066,57968;1851313,538;21173,63605;52855,44242;175,6444497;16398455,19
-Acre;2016;14427652,56;11037,43244;1886710,338;21520,8554;51355,79649;178,2020387;16398455,19
-Acre;2017;14393943,26;10790,03747;1920120,49;21737,23053;51686,40535;177,7659286;16398455,19
-Acre;2018;14349022,06;11760,83463;1964899,294;22042,42531;50559,31175;171,2575932;16398455,19
-Acre;2019;14254287,01;11894,03247;2058370,269;22521,73199;51212,47586;169,6673281;16398455,19
-Acre;2020;14168140,98;12805,57367;2142147,328;23414,61957;51773,94941;172,7382704;16398455,19
-Acre;2021;14057040,2;15714,11272;2248943,708;25689,75552;50913,64133;153,7654139;16398455,19
-Acre;2022;13932738,25;12756,1524;2371150,96;26062,36384;55579,71256;167,7494962;16398455,19
-Acre;2023;13846969,66;21213,90668;2444261,785;29766,70597;56073,88922;169,2412193;16398455,19
-Amazonas;1985;148011624,3;2750676,39;395667,4512;35589,51976;4644270,319;139,4940351;155837967,4
-Amazonas;1986;147888345,5;2616423,732;440580,3052;39949,58012;4852527,186;141,0890629;155837967,4
-Amazonas;1987;147855766,2;2417832,195;468520,5646;41117,47062;5054583,734;147,2438012;155837967,4
-Amazonas;1988;147751430,5;2604561,805;485156,7862;43301,06519;4953390,812;126,5166521;155837967,4
-Amazonas;1989;147512578,9;2548258,864;486334,9136;45149,169;5245531,928;113,6404705;155837967,4
-Amazonas;1990;147609678,9;2407960,7;480991,6384;46666,30017;5292560,574;109,3651842;155837967,4
-Amazonas;1991;147567244,4;2205825,044;465685,8268;47774,55866;5551301,415;136,1880176;155837967,4
-Amazonas;1992;147529671,8;2365932,712;500517,9056;48509,65983;5393197,584;137,7828062;155837967,4
-Amazonas;1993;147468000,3;2245592,307;536055,5036;48969,15448;5539208,309;141,8964798;155837967,4
-Amazonas;1994;147493420,7;2326911,473;557955,648;49588,06698;5409939,536;152,0023913;155837967,4
-Amazonas;1995;147520357,7;2323639,663;572479,8327;49894,33949;5371450,875;145,0179538;155837967,4
-Amazonas;1996;147452516,4;2171184,174;626839,4969;50577,90259;5536704,953;144,4720307;155837967,4
-Amazonas;1997;147414220,7;2441519,347;726331,8637;52010,7499;5203769,935;114,884774;155837967,4
-Amazonas;1998;147319647,3;2692919,379;849426,6157;53176,98631;4922662,053;135,0736869;155837967,4
-Amazonas;1999;147221189,4;2119599,943;906741,2989;53769,18501;5536526,301;141,3520706;155837967,4
-Amazonas;2000;147438635;2529633,351;898847,7569;55720,78185;4914961,504;169,0324;155837967,4
-Amazonas;2001;147469094,7;2646351,924;896093,2418;56669,62889;4769579,862;178,0649795;155837967,4
-Amazonas;2002;147437007,1;2533213,671;924197,4905;57035,61434;4886346,603;166,9689221;155837967,4
-Amazonas;2003;147368961,6;2683569,706;1001032,975;57913,98372;4726327,252;161,8802655;155837967,4
-Amazonas;2004;147275785,5;2701494,357;1086817,515;58847,10844;4714886,238;136,6833236;155837967,4
-Amazonas;2005;147208852,7;2658449,51;1184355,957;59165,52855;4726983,538;160,2544941;155837967,4
-Amazonas;2006;147112433,7;2674786,234;1286832,186;59919,89946;4703846,103;149,2755709;155837967,4
-Amazonas;2007;147070568,7;2530771,016;1315736,997;60248,42404;4860490,394;151,8757365;155837967,4
-Amazonas;2008;147065589,5;2517698,47;1324160,431;61369,31174;4868996,589;153,1300839;155837967,4
-Amazonas;2009;146989146,8;2464467,289;1378022,007;62015,22776;4944173,667;142,4893104;155837967,4
-Amazonas;2010;146932524,9;2703344,713;1450000,316;62593,45245;4689331,46;172,6128905;155837967,4
-Amazonas;2011;146925574,2;2606538,2;1471372,562;63159,78014;4771175,462;147,2207229;155837967,4
-Amazonas;2012;146907614,5;2539547,141;1459164,599;63839,46515;4867638,774;162,9710586;155837967,4
-Amazonas;2013;146886953,2;2565846,923;1491779,263;64449,43229;4828775,041;163,5853725;155837967,4
-Amazonas;2014;146810723;2600406,466;1549654,929;65270,76158;4811743,65;168,5936132;155837967,4
-Amazonas;2015;146685935,5;2668079,321;1660453,249;66063,96507;4757269,793;165,6449848;155837967,4
-Amazonas;2016;146508326,1;2939622,407;1826041,613;66868,24438;4496932,148;176,8972496;155837967,4
-Amazonas;2017;146420960,3;2715396,102;1913956,96;67141,82631;4720326,803;185,3999845;155837967,4
-Amazonas;2018;146374272,4;2810324,683;1963115,594;67894,74461;4622183,933;176,0845316;155837967,4
-Amazonas;2019;146221340,4;2717248,676;2077088,449;68323,12118;4753788,184;178,593146;155837967,4
-Amazonas;2020;146059525,9;2840072,907;2228877,474;69244,55574;4640070,576;176,0126081;155837967,4
-Amazonas;2021;145728021,8;2723280,951;2489076,394;73873,85045;4823595,458;119,00756;155837967,4
-Amazonas;2022;145327379,8;2360656,128;2798978,137;80916,65309;5269944,371;92,39182794;155837967,4
-Amazonas;2023;145272359,3;2449775,639;3004431,452;85141,91959;5026161,876;97,30018622;155837967,4
-Rondônia;1985;21037661,15;1005085,281;1450120,549;44466,77542;225939,8596;9,410799817;23763283,02
-Rondônia;1986;20703775,47;972925,3726;1797238,841;49180,50441;240152,6322;10,19903302;23763283,02
-Rondônia;1987;20503339,21;977080,8353;2001929,776;47720,73868;233200,0608;12,39932266;23763283,02
-Rondônia;1988;20302128,32;974820,4553;2202367,057;47886,23714;236070,1372;10,81707273;23763283,02
-Rondônia;1989;20149260,52;999427,2628;2339806,51;48656,56295;226120,5597;11,60830099;23763283,02
-Rondônia;1990;20092922,28;943493,1422;2394710,733;49346,84082;282798,9432;11,08757756;23763283,02
-Rondônia;1991;19940745,84;920908,9204;2544653,005;50151,76835;306814,8715;8,620812524;23763283,02
-Rondônia;1992;19711520,64;920465,5532;2772901,298;50556,08285;307831,0088;8,444490857;23763283,02
-Rondônia;1993;19467100,99;910565,1743;3016099,386;51109,25692;318399,7668;8,44537868;23763283,02
-Rondônia;1994;19155316,38;928865,9629;3329626,849;51646,80751;297819,1954;7,829391309;23763283,02
-Rondônia;1995;18750511,28;957158,4888;3736390,441;52704,81748;266508,9481;9,052145013;23763283,02
-Rondônia;1996;18364877,46;932599,1269;4123042,639;53821,38803;288933,4401;8,968288116;23763283,02
-Rondônia;1997;18104977,86;939545,5054;4385747,225;54567,30417;278436,3374;8,793068457;23763283,02
-Rondônia;1998;17867952,18;929200,0848;4626219,106;54789,19903;285113,7393;8,714159802;23763283,02
-Rondônia;1999;17576175,95;932219,9244;4918550,959;54300,16054;282028,0215;8,00912887;23763283,02
-Rondônia;2000;17330211,85;1008010,5;5177139,455;54903,03229;193005,5938;12,58726262;23763283,02
-Rondônia;2001;17062809,03;1000035,404;5447684,656;55426,92531;197312,576;14,4343441;23763283,02
-Rondônia;2002;16741704,09;986185,1017;5771649,863;55830,48412;207900,114;13,37344078;23763283,02
-Rondônia;2003;16290314,7;971798,3173;6222586,13;56927,28134;221642,6911;13,90662053;23763283,02
-Rondônia;2004;15918236,67;979253,2914;6592974,317;58663,44177;214142,8951;12,41001798;23763283,02
-Rondônia;2005;15575521,83;980505,2366;6937125,671;58892,53506;211226,1302;11,61627885;23763283,02
-Rondônia;2006;15364948,76;981998,8232;7146712,856;58867,91467;210743,2311;11,43631278;23763283,02
-Rondônia;2007;15213367,12;984926,1452;7295848,223;59520,05547;209609,608;11,87081073;23763283,02
-Rondônia;2008;15113203,14;989183,0429;7393565,687;60633,72854;206685,7201;11,70314667;23763283,02
-Rondônia;2009;15068116,3;989715,6405;7437716,812;61341,10118;206381,908;11,26236915;23763283,02
-Rondônia;2010;15038848,05;989960,9135;7463988,649;62498,07154;207975,5465;11,79336554;23763283,02
-Rondônia;2011;14938326,35;1008158,562;7553982,59;63593,24698;199210,6501;11,61940901;23763283,02
-Rondônia;2012;14853098,73;1004713,046;7620573,377;64529,79921;220357,3322;10,73482786;23763283,02
-Rondônia;2013;14772023,57;1009462,708;7694069,035;65828,02106;221888,7801;10,90972204;23763283,02
-Rondônia;2014;14675374,61;1014921,469;7779985,236;66721,86236;226267,6258;12,22336951;23763283,02
-Rondônia;2015;14533183,13;1027939,45;7917977,102;67943,44844;216230,9201;8,975785394;23763283,02
-Rondônia;2016;14361134,22;1018087,939;8094598,863;68800,81631;220650,1754;11,00583392;23763283,02
-Rondônia;2017;14201308,56;1009290,318;8251583,417;69644,10222;231446,2414;10,38209514;23763283,02
-Rondônia;2018;14069648,82;1008525,087;8375782,759;70786,00241;238531,7361;8,622692542;23763283,02
-Rondônia;2019;13877352,63;1011290,518;8562130,624;71275,86336;241224,4048;8,980761792;23763283,02
-Rondônia;2020;13715719,14;1025097,828;8720937,306;72100,63356;229418,2573;9,86258656;23763283,02
-Rondônia;2021;13490404,85;1031623,097;8934740,963;74098,56013;232405,2638;10,29367188;23763283,02
-Rondônia;2022;13248533,18;1000377,137;9187011,254;75704,06195;251638,7489;18,64172961;23763283,02
-Rondônia;2023;12966273,08;1019635,625;9444910,993;83124,05088;249319,2082;20,06310344;23763283,02
diff --git a/material/tabela para formatar (1).csv b/material/tabela para formatar (1).csv
new file mode 100644
index 0000000..e049d15
--- /dev/null
+++ b/material/tabela para formatar (1).csv	
@@ -0,0 +1,1553 @@
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+Brasil;Rondônia;Itapuã do Oeste;Itapuã do Oeste - RO;1101104;37;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4,50235213;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;9,092958484
+Brasil;Rondônia;Itapuã do Oeste;Itapuã do Oeste - RO;1101104;37;29;Natural;2. Non Forest Natural Formation;2.4. Rocky Outcrop;2.4. Rocky Outcrop;2.4. Rocky Outcrop;59,37910441;59,11444525;59,02613696;59,0261381;58,84971156;58,76144122;58,84965374;58,84962572;58,84963141;58,58498549;58,76141775;58,67326706;58,84979581;58,49668452;58,40841951;58,32018853;58,58482954;57,87893896;58,05536981;58,14358932;57,52604159;57,17311928;57,08494581;57,17316016;57,17308312;57,17312826;57,43780295;57,43778247;57,08481301;56,82010445;56,73188746;55,93784001;55,58509267;56,37907433;56,55548852;56,0261437;55,32024816;55,49672338;55,58506497
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+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;170522,563;168465,1393;165330,0293;162561,2052;160772,1833;158988,2783;157538,9322;154926,0447;151495,1296;147442,8168;144606,1802;137075,6021;133214,2149;128428,9559;121766,5418;117168,7768;112161,725;103826,0394;96975,07606;91330,69129;85005,005;79109,94226;75230,7238;71957,97265;68402,09394;65157,61426;62769,84614;61338,59329;61226,74445;59492,96647;58440,48597;56886,00347;56851,56537;56406,38324;54827,50427;53297,54219;51421,56158;48569,83069;45533,12109
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;1801,208313;1790,288667;1788,615343;1781,130176;1767,922274;1762,815301;1751,454916;1754,096141;1746,521405;1737,626022;1735,072956;1730,140105;1736,040381;1737,270054;1730,136727;1758,052216;1762,807836;1751,096046;1740,437583;1721,063032;1697,202052;1677,037892;1672,460558;1665,149027;1653,08471;1655,63791;1642,870603;1640,668237;1654,583023;1651,853066;1656,431307;1666,030063;1676,419231;1669,552568;1668,144402;1665,854721;1658,903176;1637,488235;1612,912012
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;16,03193727;16,82466781;11,89143038;13,47730725;14,71025817;14,62232972;18,76146115;16,11975046;11,36291382;11,09876879;10,21866528;12,50800974;15,32607808;13,38870552;11,71582964;17,2634278;14,09307466;18,49710042;16,56040905;24,4878785;25,103095;24,22291855;22,81400327;20,61120293;24,22323976;27,92217296;26,68904455;26,42365714;26,5115301;21,75433826;17,61574982;22,98938829;24,75169551;22,81443586;32,31875126;51,60414665;51,43273745;17,61560221;12,15580272
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;244,9798349;236,2611189;235,9108824;223,3131263;215,7372045;213,7103143;206,752114;196,3565734;189,3974432;177,3261617;168,8714177;159,3602083;147,558269;146,3255519;128,7948008;134,3432353;132,0507913;115,3102162;110,6409121;98,22193352;101,6566804;94,96286015;94,96335163;75,49347915;63,51315814;72,23437533;73,38030244;62,98382037;72,57924783;67,55826176;67,6532964;61,3977992;62,18943366;52,67679967;86,50617905;72,84968061;121,8333418;127,47303;107,3896769
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;8103,505678;10161,63019;13294,53586;16073,93088;17871,9346;19644,7435;21078,76431;23688,22117;27132,17494;31184,93232;34013,55396;41509,60729;45350,0319;50112,65839;56752,43908;61367,64309;66334,08738;74618,77567;81493,43865;87181,69349;93541,55279;99418,11542;103286,0539;106562,9499;109927,3233;113143,0881;115698,5731;117116,0017;117242,9136;118796,1157;119540,3721;121136,3323;121088,6737;121855,6652;123413,2399;124890,9715;126675,1702;129561,0818;132580,1641
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;23,33547333;28,71008874;46,85351295;55,30721191;58,38945353;72,39036848;76,96927601;94,05190807;101,1843281;108,4928433;116,5058779;132,2674497;142,746265;161,5903407;178,1450315;193,2907261;203,6813264;212,3987955;218,9148695;223,5817739;231,6828196;239,4317555;248,9418151;260,9174749;266,0247852;282,7554835;286,1016505;290,5044666;292,2656123;303,3607081;306,0023499;308,4679036;309,6126295;310,0529053;316,1288015;317,4496409;330,4820056;330,7461604;347,3006431
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,233026782;6,868681531;9,95129566;2,377825409;0,880874103;1,497299255;1,585355029;1,761500458;2,377877386;5,019787665;28,44590085;75,91486937;76,09101252;71,33962766
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;299,2271778;312,7898102;302,0462397;300,1977097;310,8543256;312,4414101;340,8021619;335,7850346;334,3762994;348,9106963;360,1841696;390,4859093;404,8457402;408,461699;442,2855866;343,737311;322,8647794;355,8958809;371,223497;387,8684828;384,9607939;418,8705149;422,0407685;425,476555;435,2527427;433,9361177;446,6229669;477,9830313;449,451338;487,679569;513,1220047;520,1752903;548,1098043;600,7738111;587,6468975;612,5840464;604,2043571;617,3267607;675,3831946
+Brasil;Acre;Acrelândia;Acrelândia - AC;1200013;53;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;20,08312342;71,08699987;105,7928805;74,87255993;36,02267753;14,70618362;21,04718565;27,92197969;37,17357315;235,9017021;229,9132816;53,55880602;44,30756833;35,67541498;181,902496;462,4760524;400,648659;440,0190092;85,79936351;69,67570006;69,93986007;69,93986007;69,93986007;69,93986007
+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;6,146326678;4,917119446;4,478210693;4,917100323;5,795019458;5,531746051;6,058487793;7,1999823;5,882908337;6,146407147;5,356191266;5,356159766;5,268364679;5,531753937;5,180554572;6,234595648;5,971171295;4,302718066;6,410259723;5,795636554;6,059060242;6,585877856;4,74188634;5,356509839;5,795528925;6,059010803;6,322503601;6,84939502;7,464096613;7,551881519;8,16644563;7,815245416;7,28831944;6,410151917;5,971098535;7,200573071;6,849145099;6,32213371;6,322079474
+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;491055,9368;490809,517;490647,3962;490451,155;489834,3216;489547,213;489444,4891;489607,1618;489427,9942;488803,1082;488021,039;487212,3152;486415,7904;485781,0743;484848,5819;484308,4916;483366,4814;482495,8713;481773,3779;480974,6325;480180,6103;479581,1426;479311,1622;479125,3084;478732,517;478343,2073;478207,4524;477576,515;476604,7748;475055,4022;473270,9083;471798,3122;470621,5681;469310,2885;465871,227;463838,4487;462087,1735;460124,8422;458650,2661
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+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;723,0221189;736,7344519;752,2066193;749,9243097;747,9019026;742,7188139;753,3577908;779,4662353;772,344185;768,8306487;772,1732094;757,8478249;769,451822;774,1990648;754,2502186;825,6189546;837,9255381;826,2364938;821,5772938;825,7059632;829,1326779;820,7810882;827,9002897;822,362332;794,9413212;803,9051097;772,0837024;755,3802172;755,6427448;727,3413989;718,3733996;730,5908726;738,0619828;727,517013;736,4807268;727,5134335;686,633641;642,5954454;541,674572
+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;88,08685338;87,6471043;87,47332368;98,28389855;100,8314862;118,5026428;129,5787425;111,1183009;97,84135965;94,4113237;91,77459718;71,11838758;65,93400493;66,72397192;47,38243051;80,16270939;92,11709947;90,08544467;96,67802184;95,0070082;115,3048919;111,966961;132,4415034;110,3767338;89,82224042;132,2801014;118,3892059;138,3394152;129,4687401;127,6254991;141,7823938;141,7722723;154,6853841;140,7338339;175,7833635;153,9240723;206,7606323;148,0445493;181,6354264
+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;216,2689539;227,6961922;227,3436708;218,5550717;219,9608946;215,3921186;218,909385;224,7081031;217,1489953;222,2448562;238,7621689;215,8205457;207,8229355;197,8060151;166,0765555;182,3368215;174,6000632;167,2206194;164,8495973;151,4012601;152,4633688;141,4743081;178,2226238;172,4201403;146,3159279;188,0796625;186,4143121;199,6845565;222,1839098;236,4224619;263,5784579;280,0107909;296,014761;286,4416851;285,4799681;281,2580932;326,9418565;309,8124529;318,5650333
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+Brasil;Acre;Assis Brasil;Assis Brasil - AC;1200054;54;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;93,17291873;101,0763624;100,9885483;101,3398041;104,5011756;106,0818687;107,047836;107,2234664;107,2234664;107,3112813;107,047836;107,6625702;108,0138453;109,5945618;111,0874557;113,195093;115,0392658;116,5321662;117,1468824;118,200685;122,328056;122,4158819;123,9087457;126,1920121;126,104207;130,758516;140,7696669;147,8828629;159,1235087;163,1631174;166,5880009;168,0809099;169,8372629;170,4519744;171,0666746;171,4179507;171,9448585;172,1204966;176,1600739
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+Brasil;Acre;Brasiléia;Brasiléia - AC;1200104;55;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;13,96048659;15,4531666;18,70186354;13,43395522;14,6632197;14,39961998;17,56052897;16,59475139;17,56057789;15,5412098;14,92659953;17,56069227;21,59950146;19,05323945;13,6974237;37,4924092;40,74120828;32,9266963;44,0775173;42,58524114;42,05846231;42,14622147;40,21428499;43,90203779;38,63377581;38,54591069;43,98989213;31,96118375;34,0681496;33,9804254;33,62930145;33,80502631;32,83902385;30,90741731;31,52187667;35,20974478;18,87785371;26,95530388;28,35976976
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+Brasil;Amazonas;Boa Vista do Ramos;Boa Vista do Ramos - AM;1300680;86;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;31,06961306;0,535684277;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,089280853;0,089280853;0,44640426;0,8928073;0,357123407;0,44640426;0,44640426;0,44640426;0,178561707;1,874893378;1,874892975;1,339209296;1,428489703;1,24992887;1,24992887;1,785615137;1,785615137;4,28546908
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+Brasil;Amazonas;Boa Vista do Ramos;Boa Vista do Ramos - AM;1300680;86;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;6,784594086;7,141565393;0,357093994;0;0;1,339063007;0,357113538;7,676957379;29,36843618;28,5650642;1,071069586;0;0,803535828;1,249901904;0;0;21,69127456;20,79874507;0,44637547
+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0,176758673;0,176758673;0;0;0;0;0;0,176755286;0,088377612;0,088377612;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,088272644;0,088272644;0,088272644;0;0,088388214;0;0;0;0;0;0;0;0
+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;2074942,618;2072250,428;2068394,071;2066173,778;2063458,089;2063724,434;2063410,43;2061175,879;2058450,21;2053851,503;2049861,652;2045383,718;2040698,005;2034783,931;2031123,868;2026724,548;2021679,159;2014241,195;2002001,508;1991883,547;1985271,237;1977128,79;1972051,652;1967303,171;1961530,395;1954439,668;1950570,48;1946902,896;1942604,125;1935192,89;1926193,236;1917450,154;1908511,215;1901379,84;1883790,721;1866152,1;1841083,762;1817912,485;1807673,678
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+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;69267,43135;67486,9273;66611,84731;65904,51586;65417,30371;65779,78237;66058,89286;65594,1191;64461,10126;63603,75413;63102,77699;62230,53004;61066,30768;60392,16384;60553,6232;62348,10308;62625,83987;62642,74544;63499,19159;63157,54783;62715,29995;62634,96553;62457,33306;62562,68891;62047,70148;61577,3632;61686,6377;61553,77737;62141,03653;62037,04695;61801,08112;62029,88122;62013,56358;61850,42171;61271,5951;60141,87831;58683,88255;58464,82829;58030,73506
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+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;744,4500605;746,1292551;740,271647;691,8696714;721,733083;671,7979632;724,6508037;674,1808033;624,9790636;710,1493266;621,7898789;593,7059068;619,1349653;576,3083944;518,6019512;539,2797924;560,7408027;495,3644772;503,8498675;508,0135274;475,7522634;514,1096107;529,7548341;479,3193488;470,3140899;633,8394653;537,3643249;593,0294845;599,5691902;608,7594496;647,0138565;652,8517535;621,485023;626,7044328;655,3256891;707,1945069;955,6051294;843,3227468;1105,972677
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+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;174,90565;184,0974576;202,0395677;216,3574764;228,2008205;229,1728585;240,7509157;238,541325;236,3317346;241,3696048;241,2813001;248,3520654;248,3520169;252,5059308;254,8038635;261,432526;272,5687505;319,4105712;321,6201409;328,5140666;332,7562602;368,8168972;374,6501587;401,1645869;409,6492452;420,9618994;427,5022346;427,9441489;433,1587077;450,4814143;464,1804158;466,8319009;471,5159626;479,2050883;497,5880135;513,7617593;515,3525469;532,2336469;544,7835922
+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;5,126268793;4,419230182;2,386497461;1,149051514;0,530330597;0,972247015;2,298104529;2,032939014;3,358722754;8,485014862;10,87171252;23,33649281;32,35266151;30,58218467;39,15629109;13,16922029;23,4225581;16,88093737;14,67204965;6,982158551;8,130993347;7,424102203;9,811506604;21,91697761;41,71295607;42,07247281;43,22150243;50,47029713;31,19599463;70,08746532;39,8618992;32,88110272;33,41125959;41,01163365;53,2008405;82,70655404;192,0348758;214,7460023;483,2550581
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+Brasil;Amazonas;Boca do Acre;Boca do Acre - AM;1300706;87;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,234702026;1,852062042;1,763868927;0;0;0;0;0;10,14267787;115,6278382;112,0117947;14,11328036;10,93809223;0;19,31729793;163,522318;169,2531668;223,0533493;122,949726;71,35033411;71,35033411;71,35033411;81,66797507;81,66797507
+Brasil;Amazonas;Borba;Borba - AM;1300805;88;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,089080939;0;0;0,089080139;0,177909235;0;0;0;0;0;0;0,089077863;0;0;0;0,178138184;0,178138184;0,089080139;0,089080139;0,089080139;0,089080139;0,089080139;0,089080139;0,17821701;0,267102307;0,089080139;0;0,089080139;0;0,089083484;0,445382019;0,089080139;0,178138251;0,178138251;0,178158075;0,267236322;0;0;0
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+Brasil;Amazonas;Borba;Borba - AM;1300805;88;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0,534853955;0,534853955;0,889867273;0,888311066;0;0;0;0;0;0;0;0;1,865488861;4,976020697;4,708069;4,708069;4,708069;4,708069;4,885731342;3,375591125;2,487272131;4,619237762;5,418719958;5,418719958;5,063709906;3,020282703;1,865453412;1,865453412;2,04311579;2,753778717;3,379502521;2,487285321;3,109109515;6,311408734;11,47047727;17,85985122;20,35094836;21,95306469;27,33799344
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+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0,089240118;0;0,178475891;0,267744867;0,089239697;0,089239746;0,178480286;0,089239648;0,089269061;0,267748932;0,267748572;0,267777686;0;0;0,267752441;0,267751697;0,089239648;0,267720453;0,267720453;0,35696015;0,446198889;0,08924007;0,08924007;0;0,089240094;0;0,08923985;0,178479791;0;0,267719366;0;0;0,446196832;0,535497211;0,178479846;0,089239948;0;0
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+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;110748,3345;109953,3559;109524,684;109108,4163;108995,4908;111562,6375;111741,0567;111261,5068;109591,7456;109938,6015;111574,4;111891,4099;111691,6817;110585,8889;110065,0807;111484,0448;112414,9416;112435,2882;112317,5294;111663,9661;110749,6939;111154,9551;112477,7125;112685,6828;111846,429;109858,425;109552,4097;109921,3738;110211,0566;110139,983;108260,8598;106707,7704;107423,5992;108422,5189;108128,7278;105893,1543;107625,4307;108137,003;108062,0479
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;9171,422997;9624,867693;9082,800276;12017,07087;9895,252397;9446,095272;12419,70979;10178,50984;8304,16371;8450,815921;10881,56341;8710,139675;11302,11938;11926,68147;9288,409889;11496,06763;14807,3548;10506,15656;13428,65496;10463,00018;13721,51556;13224,06142;11973,39167;11866,49173;10970,47885;12285,02823;13071,2167;13716,94379;12003,65332;12084,8049;11745,59348;15135,96173;13231,16206;14692,39806;11853,22484;15376,60327;12599,38622;8774,557553;11033,75498
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;1267,544018;937,260044;1515,469165;1544,741108;1499,584019;630,4375503;827,1160537;1164,471074;1360,258618;1787,031259;1206,641843;450,4323652;790,1353051;2413,371105;1640,400997;1193,561201;753,3710991;614,5521433;948,7973985;1429,783843;2952,028592;2132,835657;1095,493945;982,6882035;1351,619112;3058,299799;3107,292452;2901,946842;2836,43159;2876,335472;4258,080123;7505,768476;6662,132593;5787,303314;5574,790644;7717,623149;4951,767589;4002,676463;4340,827331
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;3254,806157;3258,920176;3105,408288;3901,540035;3946,62742;2831,294438;2725,067982;2961,836205;3286,557973;3352,60454;2648,236621;2222,948187;2792,964112;4568,156134;4714,435624;4137,806076;3379,950049;3270,465169;4004,491796;4912,71764;5482,232195;5567,837423;4815,64476;4521,364053;5175,215927;7095,646116;7311,471218;6283,080847;6058,525123;6405,627732;8635,903226;10962,5242;10234,22256;8970,651888;8337,114637;8487,820488;8396,184502;8015,634156;8658,28345
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;49,26630239;56,67402328;56,49552868;57,20951837;56,40623087;60,24402978;62,38604382;63,9925356;61,93979812;62,74306316;63,90328375;63,54628209;63,18928644;64,61728403;63,9925839;65,95593718;66,4021681;68,90125098;69,61522634;76,75539358;78,09416924;83,98469024;84,34171492;92,37422455;104,1553496;116,9182784;120,2205793;122,1841317;130,0383668;132,3588852;135,0364415;136,6429247;137,1784323;138,1602381;140,1238136;142,1765581;144,9433488;146,6390754;152,7081825
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,089250946;0,089250946;0,089250946;0;0;0;0;0;0;0;0;0;0;12,31680325
+Brasil;Amazonas;Caapiranga;Caapiranga - AM;1300839;89;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;31836,55624;32686,96816;33266,90891;29928,86369;32181,52638;32026,32904;28611,69081;30895,76503;34253,79622;32957,83899;29609,02974;32684,83942;29803,869;28451,35064;32463,83891;29086,79516;25413,52255;29967,20074;26564,37191;29207,17336;24870,84691;26064,62498;27907,74953;27927,07929;29044,04552;27413,16489;26785,18363;26431,53665;28350,03087;28385,81241;29379,09239;25245,7216;27348,05234;25880,92987;29434,38665;25511,18059;29636,50413;33620,25953;31329,13009
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+Brasil;Amazonas;Canutama;Canutama - AM;1300904;90;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0;0;0,088593988;0,088593988;0;0;0;0;0;0;0;0;0;0;0;0;0,088367206;0,176731018;0;0,088593988;0;0;0,088593988;0;0;0;0;0;0;0;0;0;0,08845235;0,08845235;0,08845235;0,08845235;0;0
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+Brasil;Amazonas;Careiro;Careiro - AM;1301100;92;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,338357166;3,390584473;3,033683734;3,390699109;1,5168422;1,070791876;0,892326581;0,713861206;1,60632038;4,283684937;3,748126459;6,603952399;10,08374132;12,49301311;12,85012495;14,81337543;54,79104111
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+Brasil;Amazonas;Itapiranga;Itapiranga - AM;1302009;105;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;31,34446989;5,179925;1,96491673;0,803935529;0,714609418;2,054471558;2,322478491;0,625282471;0,803934656;1,250565088;2,143673511;2,679346582;2,679320087;4,108266052;3,929665222;3,840339178;3,393708716;3,393708716;2,768708563;4,733854193;6,341285333;7,234577673;6,430688495;3,662078064;3,572634033;4,108865979;4,198093817;4,555302301;4,287151807;5,090873254;12,50275901;14,91384932;7,59145249;6,787754291;5,448189648;6,341296521;5,984187585;11,3425298;51,53012849
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+Brasil;Amazonas;Lábrea;Lábrea - AM;1302405;109;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;51861,22068;53290,96596;53033,1574;53007,98336;53256,66277;52570,51026;54550,68058;53056,00625;53883,89197;53218,02416;53019,40445;53542,23605;52432,00563;51920,12942;53865,36262;48710,37399;48397,49098;48306,74993;47749,06494;46935,08555;47446,75272;45794,35491;44490,20108;46849,13669;47113,97074;44701,45184;45894,59678;45556,465;46771,0622;48973,98937;48045,15418;46495,15134;47678,96401;46786,5644;48247,78655;47395,88265;47919,12117;50509,11175;50701,15803
+Brasil;Amazonas;Lábrea;Lábrea - AM;1302405;109;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;5,410759198;6,207671039;28,99504801;18,44289096;5,765415735;2,040114093;1,418314893;15,69247975;1,950388983;0;0;0;0;0;3,703503339;3,703503339;4,323862952;5,382484357;7,148056421;18,35629586;52,75332274;58,65898114;207,326121;205,5696559;70,75936817;67,58671951;75,63665015;333,8616594;1177,180335;1149,06599;1829,089136;1193,051946;1170,176789;1219,652633;1326,723168;1349,14983;1395,530318
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,08923501;0;0;0,089232068;0,178461578;0;0;0;0;0;0;0;0;0;0,089232068;0,267696106;0;0,089229663;0;0,267696155;0,624619495;0;0;0,178461658;0;0;0;0;0;0,446157837;0,26769375;0,089229028;0;0,178464087;0,089232068;0,089234485;0;0;0
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;304254,0026;303785,01;302318,6709;301735,1317;301451,9653;301564,6246;302194,3422;301333,1074;299732,4564;299858,299;301208,4906;301509,3229;300264,0689;297770,439;297120,7145;298213,6143;299320,6961;299483,2373;298457,9949;297622,8761;297172,7313;296058,3056;296291,2942;297428,3091;295776,4609;291254,4111;290312,5626;292626,876;292977,0058;292015,0512;286592,8817;278314,618;279308,6276;282445,7815;285072,2286;285251,2982;284517,4138;286096,0582;284381,3625
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;4;Natural;1. Forest;1.2. Savanna Formation;1.2. Savanna Formation;1.2. Savanna Formation;0,981849854;0,981849854;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;228885,2474;225576,3161;224536,2584;220801,4561;221753,4985;226586,706;227368,3764;227087,668;221459,21;222453,2232;230155,062;231133,1844;227379,4665;225984,9315;224656,8693;228062,8435;229936,6698;229807,1248;230734,8781;230483,839;229358,2905;229992,5549;232319,4327;232700,1317;229555,8192;225349,3818;223959,719;225278,6282;226648,5498;226472,9076;223652,4578;218197,9632;219271,3418;221431,4965;220389,2654;217964,5218;220683,0795;224710,4675;231862,6061
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;44078,75383;40317,34642;37597,47321;67570,30656;39359,16027;38206,82126;38040,02025;53871,58841;39457,27808;35259,89011;44970,05899;37969,88852;37534,564;61817,76074;36029,07169;47383,23054;50025,07513;39768,68187;51056,68675;43251,18073;54743,65588;64193,21423;43874,95984;49144,32443;39718,42604;52983,49387;56903,62132;45665,31315;43875,30979;40884,22505;44448,25268;65101,90385;49632,95908;61949,30976;43800,79042;55874,495;43935,17538;30757,9952;35190,09405
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;4907,980634;3987,533674;7082,5675;4789,75005;4513,417132;1212,207972;1175,348717;2723,88306;4502,797831;7481,400128;3804,849466;1397,905422;1263,218571;3399,11592;1856,644661;1870,940709;1329,791928;1281,154079;1560,102104;2212,794449;4518,45174;3336,947293;1597,205385;1617,273599;1978,318959;4261,933538;4670,002117;2979,916283;2259,832905;1840,015131;2801,016193;5625,65264;4852,708569;4229,376336;4422,030732;9763,034491;3094,392442;2657,617328;3810,779927
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;13917,03863;14587,80924;16713,2728;18610,06475;19156,18367;16349,74103;15646,06169;17201,53781;19347,35245;19945,80896;16757,03008;15222,45848;16692,96147;21365,05043;22453,88232;21110,36783;19126,40757;18563,39806;20265,55386;22080,4361;23430,84743;23797,52935;21547,46443;20224,51811;22862,24565;30982,85582;32320,57866;27011,94919;25194,86099;25757,50397;33014,67624;45082,32234;43584,09998;39025,22423;33984,5939;34351,63462;33603,37609;31475,17577;33306,93137
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;858,5440928;946,1037167;964,1335802;976,4509278;1023,755305;1037,679181;1049,193028;1059,278641;1061,242427;1068,026227;1069,721975;1072,488841;1077,219458;1087,482888;1097,568552;1107,207732;1110,063659;1118,273819;1145,406277;1169,592579;1175,48336;1200,384675;1202,615966;1235,550009;1242,779572;1283,569479;1303,562719;1315,076713;1344,263317;1361,043508;1377,555866;1384,696442;1392,818587;1413,436762;1431,734086;1445,033258;1462,795116;1473,148359;1510,367925
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0,535523059;0;0;0;8,925944562;3,570372723;1,071111493;0;0;0;0;0;0;0;0;0;0;0,089252911;5,623415826;6,248215216;0,535517517;1,249655518;0,624885016;0,624885016;0,714154303;0,714154303;2,053192902;5,534700873;8,92670542;12,05055381;12,1388621;14,28045278;16,06608856;24,8135577;140,4042572
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;136752,3353;144453,8725;144442,5971;119171,7243;146396,2794;148697,1935;148181,6313;130377,9102;148085,7105;147584,7556;135688,6893;145349,725;149443,4747;122230,1931;150440,1333;135906,5012;132806,2694;143633,0144;130434,3516;136833,9869;123254,8887;115075,9482;136816,3776;131298,4399;142520,3877;127538,0783;124184,3023;138775,1613;141354,1691;145323,0667;141765,8121;119942,1931;135603,4913;123148,1194;144533,8003;128969,4298;146289,0281;156408,1037;143431,0934
+Brasil;Amazonas;Manacapuru;Manacapuru - AM;1302504;110;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,427919977;0,267730554;0;0;0;0;0;8,30204303;21,15660112;53,64708013;51,59402163;21,33399899
+Brasil;Amazonas;Manaquiri;Manaquiri - AM;1302553;111;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0;0;0;0;0;0;0;0;0;0;0;0,17844624;0;0;0;0;0;0;0,089223767;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,446110553;0;0;0
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+Brasil;Amazonas;Manaquiri;Manaquiri - AM;1302553;111;4;Natural;1. Forest;1.2. Savanna Formation;1.2. Savanna Formation;1.2. Savanna Formation;1,248435358;1,248435358;1,248427625;2,140211584;2,140211584;2,140184198;2,05100506;2,140180731;2,05101192;1,961842987;1,872667316;1,872660602;1,872660602;2,14017417;2,051005084;1,337635803;1,337635803;1,515986945;2,496869525;2,496869525;2,051044501;0,802612677;0,624254321;0,535075159;0,713423407;2,051026532;2,67523017;2,853580518;2,942745306;1,783490033;1,605141809;2,318553424;2,318553424;2,14019458;2,140194757;2,140194757;1,515965118;1,070079321;0,178338141
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+Brasil;Amazonas;Manaquiri;Manaquiri - AM;1302553;111;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;36,4106647;52,47410344;54,61588569;57,56083094;59,34563906;61,2197095;62,82604152;63,62921948;62,37983381;62,73680085;63,62921401;63,45073083;63,00452244;63,89694042;63,89693212;64,07541593;64,78934921;67,37733911;69,42988529;78,53241043;81,03116655;84,06535173;83,52989971;91,38312935;101,4673419;103,3414037;111,7300523;112,5331987;123,2420481;123,6882345;124,5806334;129,5780829;130,3812455;134,6647872;136,8958113;140,8224076;141,804061;144,5705102;150,2818651
+Brasil;Amazonas;Manaquiri;Manaquiri - AM;1302553;111;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,71392981;0,892412305;0,892412305;1,070809967;0,713929736;1,42791167;1,42791167;5,711704419
+Brasil;Amazonas;Manaquiri;Manaquiri - AM;1302553;111;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;29093,945;31167,66569;31291,45641;28211,91325;31150,88275;31902,79768;32546,48681;26780,98583;32149,41405;32286,29622;30384,43547;32029,31511;33140,10543;28912,08003;32708,42591;29521,4;27060,59319;29805,73545;26382,91911;27228,73611;25735,60168;22970,4307;28044,95451;27147,42275;29203,40689;25590,4266;26861,96124;28415,15018;27654,22959;29687,77228;28350,25735;23920,41368;28029,43498;23921,68015;28532,26469;25325,92522;28914,19634;32434,17854;28316,71325
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+Brasil;Amazonas;Manaus;Manaus - AM;1302603;112;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0,089276056;0;0;0;0,178549152;0,089275946;0,178553711;0,089275946;0;0;0,089275946;0;0;0,089273206;0,089332458;0,178605695;0,089273206;0,267881793;0,267938153;0,446543164;0,357269977;0,267941003;0,357272925;0,089331824;0,178553711;0,178552075;0;0,17866438;0,089332208;0,089276099;0,089276099;0;0;0;0;0;0;0
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+Brasil;Amazonas;Nhamundá;Nhamundá - AM;1303007;116;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;23,49654478;24,74722769;24,92589799;24,30060011;21,08414172;21,44147491;21,35214282;21,53080104;15,36592819;7,504980249;7,415582373;13,13306738;13,40104653;13,13293319;11,70318966;11,79252286;11,52452308;11,61385754;15,63420425;21,35163289;21,35191007;22,42497589;25,5533577;26,17912131;28,59136384;16,8857784;25,9104343;26,62510896;26,9823982;34,21864844;39,31092395;40,65154003;34,30758619;36,27326034;33,77187596;34,5759781;41,45444302;48,87087061;137,1285352
+Brasil;Amazonas;Nhamundá;Nhamundá - AM;1303007;116;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;88125,37399;90653,67837;91871,88119;90121,31027;97176,06722;97175,60112;99887,20036;91017,03547;100461,2789;101099,4696;96813,14444;98024,2674;97215,53921;91395,01158;104957,8078;96932,13456;95428,65066;97225,46189;90773,60779;88042,80997;94690,95303;95102,75346;96867,83247;96977,06377;101033,4459;95615,55305;92430,15602;98788,87604;97453,84021;99795,86202;96421,35689;87706,96222;92306,69708;88327,48103;92462,20939;88867,54734;95063,66645;100665,0491;91332,78645
+Brasil;Amazonas;Nhamundá;Nhamundá - AM;1303007;116;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0,535949158;0,535949158;0,535949158;0,267974597;0,267974597;0;0;0;0;0;0;0;0;0;0;0;49,04031675;49,93359402;0;0;0;20,81303747;9,915049097;8,039319946;132,1112295;131,128675;27,33333156;19,91952784;34,03314966;58,7769421;18,84885159;82,89561199;166,4459362;135,7140239;27,34184471
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,178381067;0;0,17842016;0,089206641;0;0,089221021;0,089221021;0,62452262;0,089210065;0,26763028;0,446081757;0,446082483;0,535325922;0,267634863;0,267634833;0,35686217;0,535267749;0,08922099;0,3568841;0,17844068;0,089220367;0,35686084;0,08921004;0;0;0,08921004;0,178440735;0,178440735;0,089220343;0,178415741;0;0,089206586;0,446080267;0,356868317;0,178380756;0,535288599;0;0;0
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;410691,2142;410523,317;410475,0566;410357,2409;410316,2949;410359,5559;410291,2279;410009,0627;409726,6262;409592,3732;409634,6445;409578,2585;409533,0374;409255,097;408831,7048;409200,1493;409076,7584;408724,0228;408484,3332;408501,4619;408279,2499;407445,8909;407200,7558;407501,842;407347,0683;406922,9067;407079,9297;407141,3177;406890,4652;406255,1953;405455,4348;404910,6516;404376,8392;404578,1835;404276,2986;403990,4543;403268,5504;402128,1765;401004,0034
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;4;Natural;1. Forest;1.2. Savanna Formation;1.2. Savanna Formation;1.2. Savanna Formation;5,887019519;5,887018964;8,206127795;8,652116815;7,492498022;5,619317688;7,670909723;8,741295209;7,581683142;6,421997253;4,905714679;4,727327374;4,727327179;4,548939563;5,084107867;7,581709625;8,116951532;7,135767096;5,530176019;6,065335895;5,797718561;6,154485095;4,370551428;3,567804657;3,300227283;3,657001697;3,657001697;3,746195221;4,548941962;4,638193958;4,638193958;4,370612036;4,28140874;4,370618823;4,54900694;4,459800464;4,905788214;4,013835681;2,94343833
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;88823,88282;88388,97089;88156,1475;87726,89248;87724,29146;87788,82536;87439,10937;86800,02786;86131,05396;86002,53885;86334,16838;86097,47637;85937,65781;85729,59192;84976,02519;87532,06553;87919,3903;87848,74269;88033,54946;88456,00395;88252,96386;87449,3378;87493,7339;87780,88934;87272,03927;87171,08424;87548,94715;87640,00907;88003,20726;87738,16996;87358,76707;87166,16923;86492,95351;86824,91395;86819,86056;87266,66151;86871,04937;86008,13517;88256,96179
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;11635,20687;11911,41737;11534,33988;11091,88326;11105,06055;12468,50849;11094,8511;12580,30374;10656,23116;10160,8517;11381,60228;10095,84967;11479,71045;11237,96551;9939,992961;12690,65129;12738,53377;12748,50865;13069,30201;13534,05684;13471,91474;13249,26073;12519,50694;12531,52974;12287,40426;13251,67906;13320,09096;12462,79532;12611,05899;12513,12721;12879,56067;14007,43284;12935,62224;13322,5229;12979,34149;13295,58909;12958,28314;12068,05972;9500,042278
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;819,7320102;877,2738755;836,5070523;813,0470029;822,6796467;917,6804735;811,7979716;930,0796182;813,4043207;796,3658974;854,9758156;789,1410285;864,4255776;856,7596519;787,2673691;844,0918857;829,1046716;840,8771923;820,1852644;826,9653324;811,1745075;815,3666409;797,4359604;791,3697641;786,1956288;807,9612327;807,6935665;781,643841;791,5474372;773,0824444;791,5458336;961,5703117;1214,991402;1209,821327;1264,236026;1092,25601;1095,648624;1252,105837;1225,301321
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;2731,106865;3616,420477;3714,195251;3756,147093;3942,917061;3894,269684;3860,846536;4802,595482;5483,515953;5765,265551;5704,554149;5701,823689;6378,22263;6846,75885;7426,214752;6654,581995;6591,262627;7007,062452;7024,317731;6844,735321;7257,752052;8785,630413;8806,37959;8130,07996;8660,677851;9340,489868;8909,957795;8530,561374;8589,191001;9343,377573;10508,98809;11335,94919;12183,84636;11721,02608;11801,31824;11894,83628;12470,15952;14057,23913;16553,78032
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;207,0262239;213,7159674;215,0539114;214,2511393;214,8755183;214,2511401;214,9647173;216,7486488;217,1946246;217,1054274;216,9270335;217,2838177;217,8190012;217,9973927;217,5514093;218,0865913;218,8001659;220,3164985;231,1092476;237,3529742;239,2261153;245,7374515;246,8078109;251,2676223;252,1595788;253,3191218;253,31912;255,459831;275,6181872;278,0264819;280,6131593;287,3920391;290,2463053;293,4573565;293,4573537;296,5792231;299,3442957;301,2174205;313,0804902
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,070346643
+Brasil;Amazonas;Nova Olinda do Norte;Nova Olinda do Norte - AM;1303106;117;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;42906,04742;42283,27927;42880,59708;43852,0787;43686,67021;42171,48227;44099,72412;42472,09798;44784,58472;45279,09161;43688,05793;45335,27532;43404,14633;43671,295;45636,17363;40672,71673;40437,77965;40423,52661;40151,59787;39413,46171;39502,11378;39822,54657;40751,2021;40829,73564;41211,43673;40069,09545;39896,50812;41004,57012;40654,55557;40914,4863;40540,73406;39146,65685;40321,05532;39865,62926;40381,04221;39978,91036;40852,34069;42001,33428;40963,09851
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0;0;0;0,089306732;0,089306732;0;0;0;0;0;0,089306732;0;0;0,089306732;0;0,089306732;0;0;0,089306732;0,178613538;0;0;0;0;0;0;0,089306732;0,089306732;0,089306732;0,178614764;0,089306732;0,089306732;0,089306732;0;0;0,089306732;0;0;0
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;2950696,91;2950526,023;2950464,487;2950342,608;2950267,092;2950276,598;2950263,73;2950274,004;2950140,203;2950261,516;2950349,314;2950293,5;2950274,681;2950088,289;2949966,731;2950153,429;2950213,101;2950191,664;2950098,594;2950095,284;2950042,419;2949943,466;2949858,175;2949905,866;2949826,83;2949698,687;2949681,359;2949846,661;2949826,844;2949755,029;2949472,164;2948532,294;2948525,599;2948727,512;2948783,648;2948733,421;2948241,717;2948161,82;2947973,572
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+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;679182,3301;676966,3413;675142,5848;678825,6729;679598,4725;679345,8079;677351,8335;678552,9646;679125,979;680702,536;681468,3702;681053,9903;683978,552;684625,935;682916,4494;689623,2563;691421,5592;691872,4377;692324,4157;692337,5591;692270,3243;691948,6663;691493,7534;692338,5141;692937,5756;692785,6202;693151,0856;693031,0186;693287,8732;692926,3109;692677,7695;692307,2062;692523,5298;692711,7897;691832,6454;692299,0122;691780,3725;688825,9608;690511,9119
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+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;119,5554831;168,5934757;121,6994932;252,8530577;171,3803664;137,249555;239,0210039;402,1204555;129,1177846;157,2604744;199,2326881;120,9871046;205,5063723;298,3249731;126,5265259;130,2790217;315,4831974;163,6135632;336,1337474;129,8316556;339,7280039;156,3624574;127,3305387;137,9623362;277,728291;144,482164;309,1823248;141,8965913;133,407512;144,4019894;160,7496726;222,2297052;173,7950171;159,0415435;138,5945969;267,4200515;126,8847223;127,5961646;204,3373112
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;731,0702955;1062,435792;1209,514354;1515,907859;1553,694687;1566,0466;1537,120554;1732,726183;1888,033649;1799,785251;1554,177115;1617,85599;2109,567516;2554,891866;2454,181394;2459,584904;2577,571042;2656,035014;2841,911336;2705,109709;2833,805448;2881,811318;2774,607056;2763,387289;3010,192212;3247,664108;3300,573319;2879,268278;2833,280158;3006,173436;3551,867337;4823,089852;4704,341074;4331,814462;4141,410087;4352,771002;4872,366965;4583,040049;5958,073013
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;207,9042209;232,9987364;238,5354576;248,805569;252,5563819;258,0933203;267,9169198;270,9533214;268,8993139;270,3281707;276,2223518;275,8651275;280,4197156;286,5818223;289,3503203;291,404344;299,3525491;300,0669861;307,3007483;307,2114393;307,7472473;310,8729378;319,0890407;331,323889;348,5598548;353,8287619;369,9930604;371,7791565;373,2973681;372,1363994;384,9071568;387,0504624;387,0504588;387,5862241;387,3183311;389,6402;387,9433937;389,4615989;391,604847
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,446527649;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;6,697898853
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;135948,4244;136587,8174;139650,3722;133164,364;134094,0189;134661,6213;137693,5845;133980,9892;135459,4566;133271,9851;131147,2482;133420,5172;125558,9169;123369,3566;129284,9443;118472,9091;113351,3924;114385,4716;112930,1962;115276,013;112910,6305;113440,862;116570,2443;115139,1788;112436,7238;112361,7104;111929,0245;113078,6362;112700,4413;112735,1855;111478,684;109998,0533;111684,7752;110978,821;113311,4343;111408,3328;114843,7831;122772,2848;118572,0867
+Brasil;Amazonas;Novo Airão;Novo Airão - AM;1303205;118;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,161673523;1,340392566;1,251033069;1,608317261;2,144368945;0,804062372;0,268020746;1,608418268;10,81216991;12,77798061;5,717761804;23,04280798;22,06306979;24,83329788;6,965645386
+Brasil;Amazonas;Novo Aripuanã;Novo Aripuanã - AM;1303304;119;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,267179907;0,445286566;0,356254395;0,356254395;0,089030786;0,089030786;0;0;0,08903075;0,08903075;0,178072858;0;0,356295349;0;0;0,178105347;0,178105347;0,178105347;0,178105347;0,178105347;0,178105347;0,267136096;0,356181561;0,267179907;0,356225372;0,267136133;0,267159851;0,089074561;0,089074561;0;0,178018903;0,356123401;0,445197925;0,445212421;0,089030896;0,089030896;0;0;0
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+Brasil;Amazonas;Novo Aripuanã;Novo Aripuanã - AM;1303304;119;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;14781,62287;14053,738;14045,21342;14421,26084;14345,15689;14184,946;13823,5545;13944,48567;13984,26374;14433,36011;14002,46412;14796,08686;14230,13616;14976,03055;14197,78281;15338,71011;15213,9959;15281,72938;15444,90778;15585,58801;16662,85294;16152,96884;15604,2946;15515,11888;15319,81843;16561,72602;15975,88959;15987,97152;15750,21605;15606,53814;15949,71877;16641,57495;16444,91662;15671,98836;15747,67336;16221,61393;16080,66134;15683,93388;15564,12893
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+Brasil;Amazonas;Novo Aripuanã;Novo Aripuanã - AM;1303304;119;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;110,3567617;108,7627239;160,8705865;161,5785292;103,0039745;102,9154052;102,9154052;123,9134654;169,1057053;155,2754336;134,8151379;125,2556929;119,3329008;144,8399282;134,3718755;134,6375377;134,6375377;134,6375377;112,8377281;119,586049;125,7103577;138,3767112;143,513911;182,3374964;159,988399;144,5621801;158,9229735;159,0115289;129,3367686;182,3397004;51,89994427;167,9841364;147,6848562;164,3483498;172,8506636;226,7396983;257,7553205;364,5441807;393,1698916
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+Brasil;Amazonas;Rio Preto da Eva;Rio Preto da Eva - AM;1303569;123;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;2,321783313;0,178599963;0;0;0;0,535840283;0,089301251;3,661181201;5,000718414;2,678986243;3,214773608;2,857585974;2,589692932;3,482738892;7,322517615;53,93775445
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+Brasil;Amazonas;Rio Preto da Eva;Rio Preto da Eva - AM;1303569;123;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,786656207;1,786656207;2,143987543;7,235959204;7,771951294;5,538630042;5,538630042;9,20114765;9,826478284;21,43864484
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+Brasil;Amazonas;Santo Antônio do Içá;Santo Antônio do Içá - AM;1303700;125;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;395,6786854;93,29168007;104,9839654;142,3057832;200,3319506;50,26188293;59,4571173;141,6724628;70,08085007;186,2301786;166,579605;148,1914447;250,2348545;113,7333137;336,1143441;244,074019;274,8729684;206,3981933;263,7097907;165,7774094;298,3455447;290,4010779;148,9920017;231,7475369;154,1706205;92,30527599;256,6562747;299,0630009;73,02216253;49,99016353;134,8839862;610,6907253;1024,025359;915,0284193;616,5012424;1072,386138;640,1458377;1458,135173;2094,272544
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+Brasil;Amazonas;Santo Antônio do Içá;Santo Antônio do Içá - AM;1303700;125;30;Antropic;4. Non vegetated area;4.3. Mining;4.3. Mining;4.3. Mining;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;34,45631069;34,0992601
+Brasil;Amazonas;Santo Antônio do Içá;Santo Antônio do Içá - AM;1303700;125;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;54867,19508;56282,13983;56613,14312;56235,04733;56351,67123;56818,20125;57114,50169;57339,84264;57111,01028;52574,74546;55095,87046;56637,51141;55976,96384;56286,81959;56057,56301;54112,01039;53830,18197;54296,11966;53944,56463;54166,50525;52221,95643;52473,79144;52786,70604;52959,33935;52450,47774;52332,18242;51617,72591;51520,85105;52767,83907;52792,50018;52908,81685;53048,71125;51926,18385;52369,26119;52672,97152;52661,43004;53279,36661;54649,22498;53612,22442
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;19,12736871;17,25011208;17,7860722;20,37875179;17,16084114;20,02112502;16,53509907;18,59110083;22,34478555;28,78104077;19,84220793;18,05466989;20,73623626;18,85894592;16,80318712;42,10078282;45,40793536;43,53069937;42,36866335;40,67023151;41,02817212;47,28539015;46,12296163;39,6874965;42,9053181;48,89452384;43,17326847;44,42441945;42,27920032;41,47460161;45,49677272;50,9493199;55,32917932;48,17846625;46,03303091;49,25085945;50,50031075;29,31675763;33,69609108
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;8874077,881;8873203,196;8874552,419;8874594,404;8862853,542;8875934,891;8876032,498;8875111,584;8875690,985;8875494,989;8875087,874;8875487,003;8875465,345;8875804,107;8876171,941;8876556,641;8876665,142;8876642,435;8876505,674;8876498,522;8876513,816;8876391,175;8876447,661;8876487,53;8876647,355;8876628,672;8876715,018;8876693,47;8876731,455;8876678,899;8876557,078;8876548,946;8876525,79;8876148,829;8876413,333;8874853,492;8873540,045;8871528,987;8869656,801
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;4;Natural;1. Forest;1.2. Savanna Formation;1.2. Savanna Formation;1.2. Savanna Formation;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;1,161707111;16,62697012
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;1801659,801;1794907,634;1792458,011;1793913,216;1790267,34;1794411,71;1792433,768;1789477,725;1794229,187;1795172,717;1789999,463;1791999,308;1793351,548;1796904,72;1800403,107;1810519,333;1811242,535;1810931,867;1810275,124;1809902,195;1810116,178;1809981,098;1809502,365;1811030,392;1812078,005;1812262,222;1813188,549;1812703,25;1814027,03;1813387,449;1813030,483;1813264,67;1813368,431;1811654,133;1813591,908;1812992,414;1812046,287;1804813,95;1809467,512
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;42325,12629;40642,39629;36393,20929;34949,14518;52549,87016;32249,62985;30391,60492;32690,34652;31070,02497;35239,64587;32888,9451;33602,37889;34127,47842;35716,57957;33285,92189;36486,67147;36277,48472;36299,10647;36806,66753;35476,18475;36007,79308;35955,09492;35935,59574;35589,43318;36831,58444;37408,31638;36729,86366;36812,63831;37454,10604;37484,76521;38055,01849;37737,25297;37174,58658;39917,31469;37521,68004;38029,28514;38902,31518;33590,83699;27289,5263
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;4493,229183;4265,149282;4256,825185;4316,697297;4293,198362;4220,711107;4178,083637;4145,543951;4177,972052;4257,512841;4168,94152;4159,99986;4206,387504;4119,176302;4073,673653;4076,62407;4057,142511;4080,204133;4091,913674;4089,498933;4073,409498;4064,742282;4092,184341;4084,319155;3987,77679;4008,960572;4007,621546;4005,036557;4020,679097;4024,078941;4061,88659;4065,720259;4065,187954;4065,547056;4081,186731;4251,011412;4272,735524;3871,937289;2682,274605
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;0;639,8864838;643,7300303;630,1417103;657,2282438;658,5689609;631,4824288;610,2964162;636,6683027;648,7362159;628,8011298;639,795816;661,608293;694,4123286;709,5181297;770,7512991;769,0533183;755,1986679;747,690947;738,4836201;727,4903068;730,6171911;732,6729921;731,958954;743,4012102;751,8932386;752,607859;746,4401744;761,1896954;763,1561146;764,2286817;762,172904;759,6705541;770,9337691;999,5918482;2674,060233;3623,446292;7991,615322;11670,68465
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;471,7493647;548,2734311;558,2859332;587,9658347;599,051098;624,3505303;629,3567772;638,2965109;645,5376947;655,997178;671,9099039;692,0243052;710,8871375;727,425646;741,6398331;772,3924922;787,7688229;795,5463903;804,7543142;806,1846689;815,0349981;819,8624523;823,0807568;825,7626745;830,2325378;833,272048;834,2554141;835,5069779;836,937335;837,9207048;839,0828702;841,585995;842,1223775;842,6587629;843,4633386;843,9997242;844,5361064;846,7710407;845,4300796
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;2,592424561;3,128797748;1,609091101;1,609091101;0;0;0;0;0;0;0;1,07273689;1,251526367;1,251526367;1,251526367;1,966671155;4,916689227;9,297013361;3,754538049;5,274280743;6,436405609;11,17429976;10,3697496;3,218185388;3,218185388;0;0;0;0,446893994;0;3,128768042;8,58188938;16,627319;16,62740596;21,90160736;227,470222
+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;30;Antropic;4. Non vegetated area;4.3. Mining;4.3. Mining;4.3. Mining;0;0;2,50241438;7,685988116;11,08212405;11,08212405;11,08212405;11,08212405;11,08212405;11,08212405;11,08212405;12,42270206;12,42270206;12,69081763;12,86956132;12,95893324;12,51207386;12,51207385;12,69081759;12,69081759;13,40579431;13,58453806;13,49516619;13,40579432;13,31642244;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,22705057;13,31642243;13,31642243;13,49516617;13,40579442
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+Brasil;Amazonas;São Gabriel da Cachoeira;São Gabriel da Cachoeira - AM;1303809;126;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;1,60845647;1,60845647;0;0;0;0;0,446980969;0,446980969;0,446980969;0;0
+Brasil;Amazonas;São Paulo de Olivença;São Paulo de Olivença - AM;1303908;127;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,178476685;0;0;0;0;0;0,089239575;0,089239575;0;0;0;0,178476385;0;0,089238068;0,089238068;0,178476733;0,089238342;0,089238342;0;0,089237994;0;0;0;0;0;0;0;0;0;0;0;0;0,089239972;0;0,089229614;0;0;0;0
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+Brasil;Amazonas;São Paulo de Olivença;São Paulo de Olivença - AM;1303908;127;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;350074,3673;349232,9309;350173,0252;350675,5782;351005,7083;351291,5924;350980,4245;350441,9878;349465,2886;349196,4897;350184,0513;350652,1022;350677,1342;350274,7598;349475,0165;351315,8668;351564,3833;351823,1821;352181,6702;352304,4895;353128,6142;353161,7702;353201,0576;353180,8945;352427,5353;352300,2139;352380,825;351774,9757;351528,7628;351537,0148;350003,914;350123,4355;350020,1935;350388,387;350218,6089;350256,781;350172,7375;348318,4708;343126,621
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+Brasil;Amazonas;São Paulo de Olivença;São Paulo de Olivença - AM;1303908;127;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;663,0140586;779,1895767;812,1130935;839,8605635;870,4670411;888,9368943;885,7236746;889,0243693;885,2774532;910,5183532;896,1615659;895,7141162;890,1846636;892,8593556;895,3577786;895,4458368;896,517095;892,0549975;901,8686183;901,9578639;908,0252124;914,8059619;914,0916659;915,4284138;914,5365194;913,8230727;913,8222401;917,3035119;915,3399441;915,426793;905,8813784;917,4805631;922,0306539;925,4198985;928,2757603;929,8816369;928,8107413;943,4453419;963,7870696
+Brasil;Amazonas;São Paulo de Olivença;São Paulo de Olivença - AM;1303908;127;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,535336688;0;0;0,178445569;0,267668329;0;0;0;0;0,267668329;0,267668329;0,80300531;4,282600446;5,531657245;7,137696722;9,18997384;12,22340742;31,67652065
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+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,267992377;0,267992377;0,089333374;0,089330194;0,089330194;0;0;0;0,089313495;0,17862699;0,267970593;0,089325342;0,178652264;0,357303931;0,357289648;0,178668848;0;0,26799162;0,178661414;0,089331219;0;0,178657098;0,357306989;0,089330194;0,267957184;0,089330194;0;0,714615527;0,267965948;0,089321783;0,267965308;0,446604968;0,26797796;0,178649701;0,089332092;0;0;0;0
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+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;56922,50094;56515,81962;56427,79155;55962,95606;55570,26045;55202,82222;54871,30511;55200,28761;55349,00142;55696,70883;55749,25124;55276,1105;55090,73968;54348,95877;53386,37293;55474,96576;56135,04217;56470,81578;56162,77594;56108,95006;56693,98089;56627,15476;56675,26223;56778,24694;56659,81322;56792,65309;56967,0988;57131,63057;57060,64818;56925,93632;56807,57207;56859,37354;56973,26618;57217,71489;57598,81142;57532,53169;57519,91158;57377,29263;59779,32127
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;9932,237036;10074,78394;7946,695042;7831,647523;10916,72166;7829,049909;7648,573133;7789,912404;8086,409074;6876,386977;8274,610958;6469,342421;7207,208116;9332,415309;5261,194918;7277,585308;7975,465632;8168,24879;7564,937257;7878,82808;8889,739683;8658,192361;7609,324377;7348,744116;7423,507235;8994,29881;8744,356445;8654,426034;7994,481049;8037,453117;9361,855485;9941,509409;8974,62524;8949,539218;8768,000482;8974,461575;8650,617894;7792,951455;5627,082719
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;1044,996972;1011,059198;1024,364457;1054,825373;948,9882442;916,4759787;1000,517417;1106,722106;1220,1395;1155,029125;1250,959312;1156,816357;1305,078654;1047,263175;558,8612153;659,5253973;633,7980954;655,4130364;626,8309683;606,9123985;584,4986288;545,3749185;524,1174338;497,1440129;518,4014211;564,0467149;505,8089158;541,6255766;518,1330304;434,8025579;467,9396399;479,0159031;462,2229629;485,8027417;564,2209434;598,7861218;637,6379715;630,8528576;411,5866588
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;3104,398192;3144,653613;3026,213069;3454,560682;3771,359413;3822,087011;3512,868798;3591,216426;2664,322307;2769,634517;2624,695523;3002,30996;5633,128387;8507,417615;8897,399733;8694,99492;8044,764514;8023,237438;9248,190448;9896,792396;9408,508376;9416,545925;9376,443792;9639,301092;10304,17412;10804,43562;10763,43458;10358,56957;11665,04175;11764,63398;12173,27015;12103,80272;12310,92456;11711,33314;10636,96001;10908,2033;10791,74044;11246,2783;12514,03736
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;6,251713245;125,5700076;133,965156;141,377882;144,4144256;151,9164878;156,2926769;180,5851019;184,3361358;191,6596026;202,6447398;197,196844;201,9302622;202,7340484;195,4106503;193,8030759;194,0710047;202,0196214;221,2213535;230,3309891;234,34995;235,0644372;237,4758209;241,8520167;245,6923545;254,3554692;258,3744456;261,0537917;263,7330924;266,055169;269,538269;279,451731;279,8089776;280,7913938;283,4706904;284,9889776;285,2569196;285,346233;291,062096
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;33,93782433;0,089309863;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,982476294;9,556813916;16,79142747;13,12942341;14,64783123;15,45172492;15,54104047;15,63035645;16,52351224;23,22222545;58,77045466;67,07809985;27,06384597;27,33204604;20,54386318;19,29343232;23,31261962;51,53688635;57,34170943
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;48010,77453;48204,53378;50395,20844;50764,41065;50566,63562;51542,78702;52278,61912;51622,40791;51962,013;52678,45973;51474,97423;53718,92649;51322,82221;48534,77043;53811,5224;49449,36276;48574,70537;48308,29139;48872,75624;48390,30714;47174,92716;47518,32487;48859,83009;49122,82182;49047,52426;47122,91632;47334,53373;47720,79162;48170,84301;48272,67552;47060,46207;46455,88051;47388,63438;47588,6168;47924,95493;47794,77841;48388,37681;49227,88644;48386,59377
+Brasil;Amazonas;São Sebastião do Uatumã;São Sebastião do Uatumã - AM;1303957;128;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;1,07177428;1,07177428;0;0;0;0;0;0;0;0;0;0;0;0;1,87554295;1,964850854;0,08931189;0;0;3,572494525;1,696975348;2,232899725;13,754521;15,9875066;6,252295605;2,679604053;4,108798901;2,947706873;5,538020135;5,091397058;36,44074433;32,77875477;5,805788068
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,892832074;0,178564856;0,357128723;0,267844586;0,089275647;0;0,089285571;0,446436902;0,62499682;0,357158923;0,357150977;0,178583978;0,535734015;0,267866351;0,178578705;0,535739899;0,446455096;0,178574622;0,267836798;0,625007666;0,267860205;0,178577374;0,446431226;0,446437213;0,178582587;0,267862646;0,089289069;0,267876208;0,625032605;0,357169586;0,625055627;0,357169806;0,178582568;0;0,0892935;0,535665753;0,089275647;0;0
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;272588,8275;272684,3703;272747,5793;272920,5193;273065,7072;272891,1426;273094,2695;272838,7233;272757,4633;272724,4934;272719,0332;272427,2228;272019,593;271458,9193;271141,2231;271244,4325;271206,6607;270921,8271;270775,9223;270675,0094;270623,2102;270386,4062;270642,132;270929,288;270709,538;270680,2496;270903,5693;270883,8409;270689,5445;270466,5045;270186,7579;269998,0051;270077,9208;270272,4001;270351,3441;270363,5801;270466,4451;270465,2856;270292,3341
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;22797,53962;23056,00691;23144,48421;23174,13951;23580,78921;23498,28063;23540,34432;23076,17723;23103,85178;23081,16996;23325,18531;23133,13594;22809,07456;23291,71628;22865,5679;23352,77016;23468,83923;23488,65867;23429,55385;23393,4024;23524,91006;23429,28865;23788,65943;23891,15478;23666,26171;23802,05567;23997,3173;23790,45771;23825,54657;23562,07804;23306,19582;23118,60188;23240,47737;23549,21847;23640,20236;23601,54893;23793,6884;23938,32224;24440,52401
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;16046,58051;15937,37341;15941,66922;15831,04194;14789,50613;15473,4006;14190,50947;15338,16026;12713,44209;11873,45636;12955,55619;11026,86723;11232,40104;13255,43263;9910,659691;12779,39604;12396,90698;12663,59285;14129,76304;14300,72395;14472,3244;14129,72844;12995,80199;12236,47587;12445,58448;16145,9989;15513,63438;13723,57517;13746,50732;13604,71905;14807,54479;17145,06349;14547,81353;15152,48005;14061,93528;15106,0606;13874,98459;12128,27435;13008,51205
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;2497,558751;2382,010901;2391,47927;2413,533702;2391,302752;2386,565626;2330,672178;2434,423539;2286,200661;2158,516726;2193,783318;2026,542802;1953,592964;1927,501539;1555,883586;1584,363807;1545,881657;1542,846889;1492,395585;1428,289012;1372,837587;1380,776454;1188,627165;1138,088808;1303,370893;1372,83331;1325,597501;1274,525557;1270,508613;1194,254569;1156,303924;1203,263786;1139,429527;1205,235526;1300,240863;1449,799772;2286,907256;2170,204278;1660,53753
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;4967,593117;4974,564501;4837,518751;4278,503522;4120,54751;4292,789991;3735,373036;4210,819389;4593,86918;4765,23938;4709,44999;5003,231949;5619,632587;6522,655922;7216,695435;7337,958336;7316,981037;7619,401582;7836,915711;7867,746526;8009,371076;8382,875922;7818,945231;7461,613593;7513,133439;7629,471256;7454,192625;7476,062236;7602,415361;7957,956886;8468,329738;8918,325505;8741,532615;8322,409378;8035,779112;7838,807761;6487,053271;6754,287849;7741,462067
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;48,48487039;50,53858868;50,00285439;51,96725688;60,80703349;59,19980522;69,20033994;72,86125475;70,98615107;71,9683517;73,66487241;73,84345471;78,4865773;85,2726607;84,20117402;85,45124074;85,80840394;92,77309875;97,9519749;103,4880165;104,2916365;110,5420012;113,5779115;113,8457908;115,5423582;121,703518;121,524937;123,8465052;123,1321811;123,5786372;124,7394206;129,7397259;132,5970495;134,2042872;135,4543602;135,6329458;136,1687081;137,3294913;139,0260275
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,625050623;1,07151546;1,07151546;0,803636572;0;0;0,803547894;0,714265881;0,982115594;0,982115594;0,982115594;1,071398828;1,517813721;36,69653453
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;53393,93748;53256,37149;53228,32399;53671,44164;54332,66555;53740,03542;55380,95659;54369,80328;56814,97651;57666,21334;56364,38466;58650,39196;58628,09825;55799,64847;59567,00517;55956,50686;56319,89018;56012,13594;54578,64441;54572,13036;54086,53134;54364,75188;55791,61724;56570,50142;56541,11231;52488,66125;53024,41784;55062,94613;55073,31426;55422,32374;54290,91803;51827,25447;54460,75094;53704,4848;54815,38722;53844,02031;55272,50379;56721,90423;55014,73204
+Brasil;Amazonas;Silves;Silves - AM;1304005;129;41;Antropic;3. Farming;3.2. Agriculture;3.2.1. Temporary Crop;3.2.1.5. Other Temporary Crops;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;147,6704993;156,8665135;1,607289087;0;46,69293196;99,54828034;0;4,821057013;9,01715744;9,642108472;0;0;0;0;0;0,446491119;22,50292062;24,28888089;7,590306012
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,356687079;0,267520135;0,267520135;0,267520135;0,267520135;0,356685858;0,356685858;0,267520135;0,267520135;0,267520135;0,267520135;0,624175;0,445847327;0,356683612;0,356683612;0,535011615;0,445846997;0,624182458;0,356683344;0,356683612;0,445847626;0,624175256;0,535014307;0,535005511;0,624172565;0,535011615;0,624169525;0,445847626;0,624175012;0,445853113;0,535022522;0,891673712;0,356683612;0,44585329;0,71334549;0,445860443;1,070002496;0,802509094;1,070004706
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;3;Natural;1. Forest;1.1. Forest Formation;1.1. Forest Formation;1.1. Forest Formation;225103,1348;224961,5478;224950,3149;224959,3174;224952,6287;224939,4325;224921,5996;224921,24;224967,3454;224961,9876;224957,7971;224964,8465;224948,2613;224928,6434;224798,9045;224754,946;224786,5107;224840,1911;224851,3403;224811,4834;224758,3411;224723,8328;224682,6404;224633,1499;224543,8907;224512,0603;224515,0929;224526,9483;224474,5196;224454,5482;224317,9398;224283,4292;224234,2057;224182,7546;224136,8286;224060,7547;223542,8407;223340,146;222480,6624
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;6;Natural;1. Forest;1.4 Floodable Forest;1.4 Floodable Forest;1.4 Floodable Forest;90952,29097;90484,58859;90504,03979;90554,79977;90603,44788;90557,96373;90512,22394;89398,26763;89446,88702;89458,54637;89634,15288;89663,04161;89552,85331;89317,06758;88575,48475;89083,78997;89180,73962;89325,68911;89106,08033;88853,17639;88870,87803;88423,18119;88108,04363;87943,62254;87825,92949;87864,80831;87723,92481;87380,69642;87122,70118;87256,08696;87007,58892;86818,28359;86687,85371;86759,09261;86553,27217;86982,80407;86416,31857;85755,00885;83782,62757
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;2137,069788;2102,139043;1316,169625;1181,307218;1107,288864;2041,094082;1022,390836;1531,030139;1309,880777;2777,612013;900,867208;733,4796804;984,1542932;778,7768732;833,3607679;871,7878251;893,7250625;762,8241307;867,4089398;970,5933253;1131,274059;1067,963994;1172,117389;1152,858336;1084,647386;1250,142208;1387,741415;1363,19929;1240,069512;6373,129379;1551,962561;1530,125459;2879,678199;2083,715951;1893,506328;1966,71343;2235,558465;1561,698383;3215,096904
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;156,745519;367,1646602;365,7378538;291,3795975;235,5636617;126,8808573;153,1790651;107,8904991;20,06114281;101,2113758;74,00502551;94,4222911;128,7499343;112,0763898;135,4371714;52,87377357;23,98496252;12,12643412;25,41163314;30,5828993;37,98281609;248,8552733;287,1954143;378,4983123;324,4651596;195,0895118;213,4574361;195,9806629;128,9297921;99,41712099;46,72172588;40,83702617;42,70950958;73,29340773;229,8647431;101,1129792;101,2916308;167,4499359;218,5421693
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;143,1410776;605,0114522;610,0877427;533,6781413;500,6816393;439,865271;420,6012898;359,7805819;346,0489719;264,2195977;267,0739844;331,4395389;375,04335;390,4764002;673,4111465;731,3609066;546,151259;437,4554486;486,0504007;600,6290835;744,7269658;884,9037533;907,4550269;911,0301318;1041,23468;1037,312272;1053,099323;1009,861994;980,4155516;979,9623242;1174,714596;1238,026569;1325,863356;1682,645305;1818,281832;1748,824359;2626,449582;2989,308246;4426,215687
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;935,4807188;1057,63483;1092,141817;1134,762464;1168,110538;1212,515607;1277,521479;1274,400388;1273,24119;1276,451197;1272,61728;1276,62978;1277,075733;1271,190674;1274,489937;1276,36245;1278,680559;1274,044067;1289,290204;1286,348217;1295,175029;1303,467144;1308,192588;1310,243256;1309,61918;1325,044299;1321,655959;1331,284601;1345,639541;1395,841526;1369,981153;1375,688376;1400,118925;1412,959271;1415,633316;1422,053808;1424,90701;1437,122452;1450,408849
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;25;Natural/Antropic;4. Non vegetated area;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;4.4. Other non Vegetated Areas;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0;0,089164648;0,445823291;1,42662926;4,993222607;10,2539035;9,005881769;9,451957153;19,17208533
+Brasil;Amazonas;Tabatinga;Tabatinga - AM;1304062;130;33;Natural;5. Water and Marine Environment;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;5.1. River, Lake and Ocean;6566,33088;6416,196552;7155,791191;7339,038341;7426,561627;6676,441704;7686,677581;8401,673701;8630,818411;7154,254828;8887,769497;8930,066934;8727,966688;9195,962486;9703,105489;9222,894538;9284,312503;9341,596015;9368,611997;9441,380421;9155,726662;9341,722103;9528,371;9664,613008;9864,139732;9809,558586;9778,954454;10186,13337;10701,65107;5435,11906;10525,10669;10707,17937;9423,318608;9798,216844;9941,456897;9701,587387;9637,108635;10733,56212;10400,75477
+Brasil;Amazonas;Tapauá;Tapauá - AM;1304104;131;0;Undefined;6. Not Observed;6. Not Observed;6. Not Observed;6. Not Observed;0,088863867;0,088861053;0,088861053;0;0;0;0;0;0;0;0;0,089064404;0;0;0,178128809;0,089064404;0;0,088852533;0,089067548;0,178134204;0,267199469;0;0;0;0;0;0;0;0;0;0,445135742;0,178094379;0,178094379;0,178134204;0,089067548;0,178094379;0;0;0
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+Brasil;Amazonas;Urucurituba;Urucurituba - AM;1304401;136;11;Natural;2. Non Forest Natural Formation;2.1. Wetland;2.1. Wetland;2.1. Wetland;108220,9283;109616,8964;94186,41203;95500,13827;101467,377;87510,23694;85157,57856;90446,31905;98069,07158;86216,53213;80093,638;80000,61303;94054,37106;100267,6333;70976,39905;76524,44593;74785,99335;72291,53527;79195,65618;91529,31385;82756,12918;80418,3841;77211,66974;71860,25641;70940,24649;83235,67031;73447,09075;64419,75391;67988,43599;64686,84203;68000,89066;79494,12755;74734,37637;71941,07153;70152,865;72775,66328;63957,23894;57799,48272;37795,56617
+Brasil;Amazonas;Urucurituba;Urucurituba - AM;1304401;136;12;Natural;2. Non Forest Natural Formation;2.2. Grassland;2.2. Grassland;2.2. Grassland;79,09376643;74,36030016;78,02022282;85,51885755;141,9358168;135,5974071;149,2560249;149,523433;223,3573641;117,8334262;140,5973163;223,0870281;341,9114807;150,1545197;64,54187463;103,4642675;60,61352175;77,75297101;113,9087476;139,6207399;50,52637173;87,21772196;46,24188004;47,67046994;67,57758986;60,07975081;85,34264506;41,86727256;69,18473605;47,93762808;57,84678122;89,71759741;53,38297661;57,48966168;64,27384413;83,1098494;85,51915648;93,46394971;32,85057076
+Brasil;Amazonas;Urucurituba;Urucurituba - AM;1304401;136;15;Antropic;3. Farming;3.1. Pasture;3.1. Pasture;3.1. Pasture;4156,763022;4507,801711;3757,345729;2849,523682;1571,961185;1560,173736;1765,14518;2170,253761;2156,612785;2090,103795;2056,45097;2400,497028;4589,107932;7430,310118;7384,599674;6472,147976;5960,450248;4909,893701;5683,161683;6483,390236;6268,977668;6235,592004;5708,605846;5292,415834;5476,132242;5091,018641;4601,723315;4628,230277;6057,692352;6075,010717;6453,967406;6363,018603;6220,098395;5446,742592;4587,067628;4454,052572;4213,02289;4482,881233;5348,021559
+Brasil;Amazonas;Urucurituba;Urucurituba - AM;1304401;136;24;Antropic;4. Non vegetated area;4.2. Urban Area;4.2. Urban Area;4.2. Urban Area;0,714368091;142,1153242;144,1688568;158,5409698;166,3977006;179,0738187;180,2344756;182,9125359;182,9125189;183,7159466;183,2696213;187,2866209;188,6256431;187,1973567;188,6256615;190,3218935;192,1965438;203,6235773;204,5163378;210,586737;213,2648768;217,1034526;218,9782138;220,8527661;230,8514352;236,0292814;237,1005654;242,2783641;244,7780191;250,4919494;252,0990753;254,0632464;256,473824;258,25921;262,3656057;262,9012657;264,5976279;267,0973208;271,739675
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From 44b78bb340802f70ab86505d7efa787757dd6f38 Mon Sep 17 00:00:00 2001
From: Jenifer <jenifersilva429@gmail.com>
Date: Mon, 14 Oct 2024 14:11:25 -0300
Subject: [PATCH 4/4] atualizado

---
 assets/README copy.md |  3 ++-
 assets/README.md      | 36 ------------------------------------
 2 files changed, 2 insertions(+), 37 deletions(-)
 delete mode 100644 assets/README.md

diff --git a/assets/README copy.md b/assets/README copy.md
index 28d7293..25c4b0b 100644
--- a/assets/README copy.md	
+++ b/assets/README copy.md	
@@ -1,4 +1,5 @@
-# Projeto Final de Análise de Dado*
+# Da  Floresta à Fazenda: Análise temporal da cobertura vegetal no Acre, Amazonas e Rondônia.
+#### Este trabalho é um projeto final do curso Reprograma
 # Contexto
 ### A Amazônia enfrenta desafios significativos devido à pressão da agropecuária, que avança sobre áreas de floresta. O desmatamento e a degradação ambiental afetam a biodiversidade e os serviços ecossistêmicos, impactando diretamente as comunidades locais.
 
diff --git a/assets/README.md b/assets/README.md
deleted file mode 100644
index e71ac44..0000000
--- a/assets/README.md
+++ /dev/null
@@ -1,36 +0,0 @@
-# Projeto Final de Análise de Dados
-
-## Contexto  
-Este projeto consiste na análise **Temporal da cobertura de vegetação e agropecuria no Acre, Rondônia, Amazonas de 1985 até 2023**.  
-
-## Etapas do projeto:
-1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.]
-2. **Definir Objetivo e Perguntas**  [Estabelecer o objetivo e formular perguntas-chave com base nas variáveis disponíveis.]
-3. **Realizar Análise Exploratória**  [Identificar correlações, padrões e outliers nos dados.]
-4. **Gerar Base Final**  [Limpar e estruturar os dados para a visualização.]
-5. **Criar Visualizações no Tableau**  [Desenvolver gráficos que sintetizem os principais insights.]
-6. **Preparar Apresentação Final**  [Apresentar o tema, dados e visualizações de forma clara e objetiva.]
-
----
-
-## Bases Escolhidas  
-- **Base 1**: [Mapbiomas é a principal base utilizada]
-
-### Objetivo Geral:
-O objetivo desse projeto é fazer uma análise temporal da perda de vegetação no Acre, Amazônia e Rondônia ao longo do tempo e o avanço e crescimento da agropecuria nesses territórios.  
-
-### As perguntas norteadoras deste projeto são:  
-1. Qual foi a quantidade de cobertura vegetal perdida em cada Estados? 
-2. Existe uma relação entre o avanço da Agropecuária e a perda de vegetação nesses territórios? 
-3. Qual foi a quantidade de área de vegetação ou área de agropecuária ganha ou perdida ao longo do tempo? Houve uma diferença significante?
-4. Em qual ano houve maior perda de vegetação? Qual ano houve maior avanço da Agropecuária? 
-
----
-
-## Ferramentas Utilizadas  
-- **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.  
-- **Tableau**: Para criar as visualizações finais e apresentar os insights gerados.  
-- **GitHub**: Para versionamento do projeto e documentação.  
-- **Google Colab** (opcional): Para execução de notebooks de forma colaborativa e em nuvem.  
-
-