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Bayesian Geary's C×Moran's I×
FachgebietRäumliche AnalyseRäumliche Analyse
FamilieRegression modelRegression model
Entstehungsjahr1954 (Bayesian framing: 2000s onward)1950
UrheberGeary (1954); Bayesian extension via hierarchical spatial modeling literaturePatrick A. P. Moran
TypBayesian spatial autocorrelation statisticSpatial autocorrelation statistic
Wegweisende QuelleGeary, 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 ↗
AliasnamenBayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratioMoran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
Verwandt66
ZusammenfassungBayesian Geary's C embeds the classical Geary contiguity ratio within a Bayesian hierarchical framework. Instead of a single point estimate and asymptotic p-value, it produces a posterior distribution over the statistic (or over spatially structured random effects), quantifying uncertainty about spatial autocorrelation while formally incorporating prior knowledge about the spatial process.Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.
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ScholarGateMethoden vergleichen: Bayesian Geary's C · Moran's I. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare