Thursday June 7th 2018

17:00-20:30 Session I: Exploratory spatial data analysis (ESDA)

  • Thematic mapping
  • Multivariate maps
  • Spatial point patterns
  • Detecting spatial autocorrelation
  • Spatial proximity and the spatial weight matrix
  • Global and local indices of spatial autocorrelation
  • Geographically Weigthed Regression
Friday June 8th 2018

9:30-13:30 Session II: Spatial econometrics

  • Modelling spatial dependence with cross-sectional data: spatial lag model, spatial error model, spatial durbin model
  • Spatial spillover effects (direct and indirect effects, global and local spillovers)
  • Estimation of Spatial panel models
  • Fixed effects/Random effects
  • Non-dynamic vs dynamic models