Spatial Autocorrelation
نویسنده
چکیده
Spatial autocorrelation is a method of Exploratory Spatial Data Analysis (ESDA). The latter set of methods allow for the study and understanding of the spatial distribution and spatial structure as well as they allow for detecting spatial dependence or autocorrelation in spatial data. More specifically, spatial autocorrelation is the correlation between the values of a single variable that is strictly due to the proximity of these values in geographical space by introducing a deviation from the assumption of independent observations of classical statistics (Griffith, 2003). The most common spatial autocorrelation indicators in the literature are: the Moran’s I, the Geary’s c, and the Getis’ G.
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