Taught by:
Tomas Formanek{:target="_blank"}
Department of Econometrics
Faculty of Informatics and Statistics
University of Economics, Prague
- Spatial objects, projections (coordinate reference systems), visualization (maps, choropleths)
- Subsetting spatial data, distances, intersections, buffers, and other geometry-related operations
- Remote sensing: satellite imaging and other raster data (formats, layers)
- Raster data wrangling with
{terra}package - Raster-vector interactions
- Lovelace et al.: Geocomputation with R, chapters 2 - 9{:target="_blank"}
- Moraga: Spatial Statistics for Data Science, chapters 1 - 6{:target="_blank"}
Graph represeentations of spatial data
- Creating map-based graphs (connectivity, distance-based)
- Centrality indices: node/edge importance
- Transportation-related applications
- Urbanistic applications (space syntax analysis)
- https://r-spatial.org/r/2019/09/26/spatial-networks.html{:target="_blank"}
Case studies and applications
- Transportation-related applications
- Urbanistic applications (space syntax analysis)
- Ecology{:target="_blank"}
- Descriptive statistics: stochastic spatial processes, covarigram, (semi)variogram
- Neighbors: definitions
- Detecting spatial dependence
- Spatial clustering, local indicators of spatial association (LISA)
- Spatial interpolation, krigging
Case studies and applications
Models for cross-sectional data
- Spatial regression models: taxonomy, marginal effects, diagnostics (stability with respect to spatial structure/adjacency)
- Local regression on spatial data: geographically weighted regression models (GWR)
- Spatial filter: Moran's eigenvector maps in spatial econometrics
- Spatial regression models for limited dependent variables
Models for spatio-temporal (panel) data
- Static panel data models
- Dynamic panel data models
Case studies and applications
- https://rpubs.com/quarcs-lab/tutorial-gwr1{:target="_blank"}
- Transportation{:target="_blank"}
- Geomarketing{:target="_blank"}
- Ecology{:target="_blank"}
Homepage{:target="_blank"}