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Bayesovské lokálne indikátory priestorovej asociácie (Bayesian LISA)×Lokalizované Gearyho C×
OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku2000s–2010s1995
TvorcaExtension of Anselin (1995) LISA framework within Bayesian hierarchical modeling traditions (Banerjee, Carlin, Gelfand)Luc Anselin
TypBayesian local spatial statisticLocal spatial statistic
Pôvodný zdrojAnselin, 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 ↗
Ďalšie názvyBayesian LISA, Bayesian local spatial autocorrelation, Bayesian local Moran, B-LISALocal Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Príbuzné66
ZhrnutieBayesian 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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ScholarGatePorovnať metódy: Bayesian Local Indicators of Spatial Association · Local Geary's C. Získané 2026-06-20 z https://scholargate.app/sk/compare