Spatial autocorrelation refers to the degree to which a set of spatial features and their associated values correlate with each other based on their locations in space. It helps in understanding patterns and relationships within geographic data, revealing whether similar values cluster together or if they are dispersed. This concept is crucial for various analyses involving spatial queries, data exploration, interpolation methods, and clustering techniques, as it provides insights into the underlying structures of spatial data.
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