13.1 Topics Covered

• Understand spatial randomness
• Appreciate the difference between positive and negative spatial autocorrelation
• Understand the structure of a spatial autocorrelation statistic
• Moran’s I
• Visualize Moran’s I by means of the Moran scatter plot
• Carry out inference using the permutation approach
• Make analyses reproducible using the random seed setting
• Nonlinear LOWESS smooth of the Moran scatter plot
• Brush Moran scatter plot to assess regional Moran’s I
• Appreciate the difference between dynamic weights and static weights in Moran scatter plot regime regression

GeoDa Functions

• Table > Calculator
  • Univariate > Shuffle
• Space > Univariate Moran’s I
  • permutation inference
  • setting the random seed
  • LOWESS smoother of the Moran scatter plot
  • brushing the Moran scatter plot
  • save results (standardized value and spatial lag)

Toolbar Icons

Figure 13.1: Moran Scatter Plot | Spatial Correlogram | Cluster Maps