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Globální prostorová autokorelace×Prostorová autokorelace×
OborProstorová analýzaProstorová analýza
RodinaRegression modelRegression model
Rok vzniku19501950
TvůrceP. 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
Původní zdrojMoran, 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 ↗
Další názvyglobal spatial dependence, global Moran's I, GSA, global spatial clustering measurespatial dependence, geographic autocorrelation, spatial clustering measure, SA
Příbuzné65
ShrnutíGlobal 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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ScholarGatePorovnat metody: Global Spatial Autocorrelation · Spatial Autocorrelation. Získáno 2026-06-18 z https://scholargate.app/cs/compare