Exploring Spatial Autocorrelation: Moran's I and Geary's Ratio

While using autocorrelation statistics for time series data is quite common, one has to dig a bit deeper to evaluate spatial autocorrelation for some given data. Spatial autocorrelation might be a starting-point for any analysis of spatial data to get a first impression if places that are close to each other are similar in regards of a variable of interest.

This piece shows how to use the Spatial Data Analysis-Add-In (Version 0.92) for JMP to calculate the most commonly used metrics to measure spatial autocorrelation: Moran's I and Geary's Ratio.