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Analyse de points chauds Getis-Ord Gi*×C de Geary (mesure globale d'autocorrélation spatiale)×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelHypothesis test
Année d'origine19921954
Auteur d'origineArthur Getis and J. Keith OrdRoy C. Geary
TypeLocal spatial statisticGlobal spatial autocorrelation statistic
Source fondatriceGetis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–146. DOI ↗
Aliashot spot analysis, cold spot analysis, Gi* statistic, local Gi statisticGeary contiguity ratio, Geary's contiguity ratio, global spatial autocorrelation, Geary C mekânsal otokorelasyon
Apparentées42
RésuméGetis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots).Geary's C is a global measure of spatial autocorrelation — whether nearby locations tend to have similar values — introduced by Roy Geary in 1954. Unlike Moran's I, which is built on the covariation of values around the mean, Geary's C is built on the squared differences between neighbouring values, making it more sensitive to local, short-range variation. Values below 1 indicate positive spatial autocorrelation (similar neighbours), near 1 indicate randomness, and above 1 indicate negative autocorrelation.
ScholarGateJeu de données
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Getis-Ord Gi* · Geary's C. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare