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Bayesovský Moranov index I×Lokálne indikátory priestorovej asociácie (LISA)×
OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku1950 / 2000s1995
TvorcaMoran (1950), Bayesian extension developed in spatial statistics literature (late 1990s–2000s)Luc Anselin
TypBayesian spatial autocorrelation testLocal spatial statistic
Pôvodný zdrojHaining, R. (2003). Spatial Data Analysis: Theory and Practice. Cambridge University Press. ISBN: 9780521774611Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Ďalšie názvyBayesian spatial autocorrelation test, Bayesian Moran statistic, Moran's I under Bayesian inference, Bayesian global spatial associationLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Príbuzné66
ZhrnutieBayesian 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.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
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ScholarGatePorovnať metódy: Bayesian Moran's I · Local Indicators of Spatial Association. Získané 2026-06-19 z https://scholargate.app/sk/compare