Local and global autocorrelation refer to the degree of correlation of a variable with itself over space. Local autocorrelation examines how similar or dissimilar values are within a specific neighborhood or local area, while global autocorrelation assesses the overall pattern and structure of spatial relationships across the entire dataset. Understanding these concepts is crucial in spatial analysis as they help identify patterns that might be hidden in aggregated data.
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