Several statistical methods are available to measure spatial autocorrelation. Some of the most commonly used methods include:
- Moran's I: A global measure that indicates whether the pattern expressed is clustered, dispersed, or random. - Geary's C: Another global measure, but it is more sensitive to local variations compared to Moran's I. - Getis-Ord Gi* Statistic: Used for identifying local clusters of high or low values. - Local Moran's I: A local measure that identifies clusters or outliers within the data.
