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Robustní Gearyho C×Prostorová autokorelace×
OborProstorová analýzaProstorová analýza
RodinaRegression modelRegression model
Rok vzniku1954 (base); robust variants: 1990s–2000s1950
TvůrceGeary (1954); robust extensions by Anselin and spatial statisticiansP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
TypRobust spatial autocorrelation statisticSpatial statistic / exploratory spatial data analysis
Původní zdrojGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Další názvyrobust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary Cspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Příbuzné65
ShrnutíRobust Geary's C adapts the classical Geary contiguity ratio — a measure of spatial autocorrelation based on pairwise squared differences between neighbouring locations — to resist distortion by spatial outliers and influential observations. It retains the local sensitivity of Geary's C while producing more reliable inferences when the spatial data contain extreme values or non-normal distributions.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: Robust Geary's C · Spatial Autocorrelation. Získáno 2026-06-18 z https://scholargate.app/cs/compare