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Spatial Modelling (4EK662)

Prostorové modely (4EK462)


Taught by:
Tomas Formanek{:target="_blank"}
Department of Econometrics
Faculty of Informatics and Statistics
University of Economics, Prague


Basic information


Block 1: Geodata: visualization and data wrangling

Spatial geometries (sf objects)

Raster data

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

Graph represeentations of spatial data

Case studies and applications

  • Transportation-related applications
  • Urbanistic applications (space syntax analysis)
  • Ecology{:target="_blank"}

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


Block 3: Spatial regression models

Models for cross-sectional data

Models for spatio-temporal (panel) data

Case studies and applications


Block 4: Case studies and applications

Homepage{:target="_blank"}

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Materials for the course 4EK662 / 4EK462

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