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Bayesian Moran's I×Ratio C de Geary×
CampoAnálisis espacialAnálisis espacial
FamiliaRegression modelRegression model
Año de origen1950 / 2000s1954
Autor originalMoran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)Roy C. Geary
TipoBayesian spatial autocorrelation testSpatial autocorrelation statistic
Fuente seminalHaining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗
AliasBayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial associationGeary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c
Relacionados64
ResumenBayesian 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.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.
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ScholarGateComparar métodos: Bayesian Moran's I · Geary's C. Recuperado el 2026-06-18 de https://scholargate.app/es/compare