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Bayesiansk Geary's C×Bayesianska lokala indikatorer för rumslig association (Bayesian LISA)×
ÄmnesområdeRumslig analysRumslig analys
FamiljRegression modelRegression model
Ursprungsår1954 (Bayesian framing: 2000s onward)2000s–2010s
UpphovspersonGeary (1954); Bayesian extension via hierarchical spatial modeling literatureExtension of Anselin (1995) LISA framework within Bayesian hierarchical modeling traditions (Banerjee, Carlin, Gelfand)
TypBayesian spatial autocorrelation statisticBayesian local spatial statistic
UrsprungskällaGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
AliasBayesian Geary C, Bayesian spatial contiguity statistic, Geary's C (Bayesian), Bayesian contiguity ratioBayesian LISA, Bayesian local spatial autocorrelation, Bayesian local Moran, B-LISA
Närliggande66
SammanfattningBayesian 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 Local Indicators of Spatial Association extend the classical LISA framework by embedding local spatial association statistics within a Bayesian hierarchical model. Rather than relying on asymptotic permutation-based significance tests, this approach places prior distributions on spatial parameters and derives posterior probabilities that a location is part of a genuine spatial cluster, accounting for uncertainty and borrowing strength across nearby units.
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  1. v1
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  3. PUBLISHED

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ScholarGateJämför metoder: Bayesian Geary's C · Bayesian Local Indicators of Spatial Association. Hämtad 2026-06-19 från https://scholargate.app/sv/compare