The Spatial Autocorrelation tool measures spatial autocorrelation by simultaneously measuring feature locations and attribute values. If features that are close together have similar values, then that is said to be clustering. However, if features that are close together have dissimilar values, then they are said to be dispersed. This tool outputs a Moran's I index value along with a z-score, and a p-value.
In this exercise, you'll use the Spatial Autocorrelation tool to analyze home sales by census tract.
