Data preparation

This is a repository containing the data preparation steps for GOAT.

Start Database Docker Container and Connect

1. Rename .env_template file to .env
2. Run docker-compose up -d
3. Connect using the credentials defined in .env
4. Go inside container and work from it.
5. Use command line to prepare database python prepare.py -db.

Prepare Layers and Store it in Local Database

6. Configure preparation settings in src/config/config.yaml *See documentation
7. Use command line to prepare layers in database tables python prepare.py -prepare LAYERNAME (pois, network, landuse, buildings)

(Optional) Fuse Custom Data with Stored One

8. Configure fusion settings in src/config/config.yaml *See documentation
9. In case of use of data from a remote database, specify credidentials defined in .env for remote database
10. Use command line to fuse data and store in layers in database tables python prepare.py -fuse LAYERNAME (pois)

Check Documentation for Data Preparation

In terminal execute cammand mkdocs serve. Open webbrowser http://127.0.0.1:8000/