15.1 Topics Covered

  • Analyze the range of spatial autocorrelation by means of a spatial correlogram
  • Assess the sensitivity of the spatial correlogram to its settings (maximum distance, number of bins, smoother)
  • Analyze the range of spatial autocorrelation by means of the smoothed distance scatter plot
  • Assess the sensitivity of the smoothed distance scatter plot to its settings (maximum distance, number of bins, smoother)
  • Address the computation of the correlogram and distance plots for large(r) data sets by relying on random sampling
GeoDa Functions
  • Space > Spatial Correlogram
    • variable selection
    • selecting the number of bins
    • selecting the maximum distance
    • using a random sample of locations
    • changing the smoothing parameters
  • Space > Distance Scatter Plot
    • variable selection
    • selecting the number of bins
    • selecting the maximum distance
    • using a random sample of locations
    • changing the smoothing parameters
Toolbar Icons
Moran Scatter Plot | Spatial Correlogram | Cluster Maps

Figure 15.1: Moran Scatter Plot | Spatial Correlogram | Cluster Maps