According to Anselin, spatial autocorrelation can be defined as a territorial cluster of similar parameter values. If the similar values of the parameters - high or low - are spatially localized, there is a positive spatial autocorrelation of the data. On the contrary, a spatial proximity of dissimilar values, i.e., not stable in space, indicates a negative spatial autocorrelation (or spatial heterogeneity). Moran Index can be used to test the existence of spatial clusters. or G of Getis and Ord. Notemodify wikitesto Voices correlateemodify wikitesto Links externalize the wikitesto
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