Topics Covered
- Compute inverse distance functions
- Compute kernel weights functions
- Assess the characteristics of weights based on distance functions
- Understand the contents of KWT format weights files
- Create a spatially lagged variable as an average or sum of the neighbors
- Create a spatially lagged variable as a window sum or average
- Create a spatially lagged variable based on inverse distance weights
- Create a spatially lagged variable based on kernel weights
- Compute and map spatially smoothed rates
- Compute and map spatial Empirical Bayes smoothed rates
GeoDa Functions
- Weight File Creation dialog
- inverse distance weights
- kernel weights
- bandwidth options
- diagonal element options
- Table > Calculator > Spatial Lag
- select spatial weights
- row-standardized weights or not
- include diagonal or not
- Map > Rates-Calculated Map
- Spatial Rate
- Spatial Empirical Bayes
- Table > Calculator > Rates
- Spatial Rate
- Spatial Empirical Bayes