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Bajezijanski lokalni indikatori prostorne asocijacije (Bayesian LISA)×Lokalni C Geary-ja×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka2000s–2010s1995
TvoracExtension of Anselin (1995) LISA framework within Bayesian hierarchical modeling traditions (Banerjee, Carlin, Gelfand)Luc Anselin
TipBayesian local spatial statisticLocal spatial statistic
Temeljni izvorAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Drugi naziviBayesian LISA, Bayesian local spatial autocorrelation, Bayesian local Moran, B-LISALocal Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Srodne66
SažetakBayesian 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.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.
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ScholarGateUporedite metode: Bayesian Local Indicators of Spatial Association · Local Geary's C. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare