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Bayesian Geary's C×Bayesianischer Moran-I-Test×
FachgebietRäumliche AnalyseRäumliche Analyse
FamilieRegression modelRegression model
Entstehungsjahr1954 (Bayesian framing: 2000s onward)1950 / 2000s
UrheberGeary (1954); Bayesian extension via hierarchical spatial modeling literatureMoran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)
TypBayesian spatial autocorrelation statisticBayesian spatial autocorrelation test
Wegweisende QuelleGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Haining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611
AliasnamenBayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratioBayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial association
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.Bayesian Moran's I embeds the classical Moran's I spatial autocorrelation test within a Bayesian probabilistic framework. Rather than producing a single p-value, it yields a posterior distribution over the spatial autocorrelation parameter, enabling uncertainty quantification, incorporation of prior knowledge, and more principled inference in small or irregular spatial datasets.
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ScholarGateMethoden vergleichen: Bayesian Geary's C · Bayesian Moran's I. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare