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Moran's I multiscalaire×Rapport de contiguïté C de Geary×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine1950 (base); multiscale variant 1980s-1990s1954
Auteur d'origineP. A. P. Moran (base statistic, 1950); multiscale extension developed through spatial ecology and geography literatureRoy C. Geary
TypeSpatial autocorrelation statisticSpatial autocorrelation statistic
Source fondatriceMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1-2), 17-23. DOI ↗Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗
Aliasmulti-scale Moran's I, spatial correlogram Moran, Moran correlogram, multiscale spatial autocorrelationGeary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c
Apparentées64
RésuméMultiscale Moran's I extends the classic global Moran's I statistic by computing spatial autocorrelation across a series of distance lags or spatial scales. The resulting spatial correlogram reveals at which geographic scales clusters or dispersions of a variable exist, offering richer insight than a single summary statistic.Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends.
ScholarGateJeu de données
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Multiscale Moran's I · Geary's C. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare