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Globalna autokorelacja przestrzenna×Autokorelacja przestrzenna×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania19501950
TwórcaP. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
TypSpatial statistic / hypothesis testSpatial statistic / exploratory spatial data analysis
Źródło pierwotneMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Inne nazwyglobal spatial dependence, global Moran's I, GSA, global spatial clustering measurespatial dependence, geographic autocorrelation, spatial clustering measure, SA
Pokrewne65
PodsumowanieGlobal Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.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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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: Global Spatial Autocorrelation · Spatial Autocorrelation. Pobrano 2026-06-18 z https://scholargate.app/pl/compare