Spatial Modelling (4EK662)

Prostorové modely (4EK462)

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Taught by:
Tomas Formanek
Department of Econometrics
Faculty of Informatics and Statistics
University of Economics, Prague

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Basic information

• Course classification

• Literature and supporting materials for the course

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Block 1: Geodata: visualization and data wrangling

• https://ruettenauer.github.io/SICSS-Spatial/index.html

Spatial geometries (sf objects)

• Spatial objects, projections (coordinate reference systems), visualization (maps, choropleths)
• Subsetting spatial data, distances, intersections, buffers, and other geometry-related operations
  • https://ruettenauer.github.io/Geodata_Spatial_Regression/02_spatial-data.html

Raster data

• Remote sensing: satellite imaging and other raster data (formats, layers)
• Raster data wrangling with {terra} package
• Raster-vector interactions
  • https://r.geocompx.org/raster-vector

Graph represeentations of spatial data

• Creating map-based graphs (connectivity, distance-based)
• Centrality indices: node/edge importance
• https://r-spatial.org/r/2019/09/26/spatial-networks.html

Case studies and applications

• Transportation-related applications
• Urbanistic applications (space syntax analysis)
• Ecology

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Block 2: Geostatistcs

• 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

• Lake Rangsdorf

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Block 3: Spatial regression models

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
  • https://ruettenauer.github.io/SICSS-Spatial/SICSS-spatial_part2.html#Spatial_Regression_Models
• Spatial regression models for limited dependent variables

Models for spatio-temporal (panel) data

• Static panel data models
• Dynamic panel data models
  • https://ruettenauer.github.io/Geodata_Spatial_Regression/09_spatiotemporal.html

Case studies and applications

• https://rpubs.com/quarcs-lab/tutorial-gwr1

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Block 4: Case studies and applications

• Transportation
• Geomarketing
• Ecology

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