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Spatial autocorrelation refers to the dependence of a variable’s values on the values of the same variable at neighbouring locations. In simpler terms, it describes how similar or dissimilar values of a variable are based on their spatial proximity. This concept is crucial in spatial analysis as it highlights patterns of clustering or dispersion of data points across space.
