Comparer des méthodes

	Bayesian Geary's C	Indicateur local d'association spatiale (LISA) C de Geary local
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1954 (Bayesian framing: 2000s onward)	1995
Auteur d'origine	Geary (1954); Bayesian extension via hierarchical spatial modeling literature	Luc Anselin
Type	Bayesian spatial autocorrelation statistic	Local spatial statistic
Source fondatrice	Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Alias	Bayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratio	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Apparentées	6	6
Résumé	Bayesian 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.	Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.