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Spatial Autocorrelation

Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.

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Spatial Autocorrelation Analysis

Taksonoomiline meetodikirje · regression-model / spatial-analysis

Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. · DOI 10.2307/2332142
Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. · ISBN 978-9024737322

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Taxonomic bucketGeary's Cmachine-suggested · Relational suggestion, not evidence.Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Getis-Ord Gi*machine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.