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
- 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

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