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Robusni lokalni indikatori prostorne asocijacije (Robust LISA)×Lokalna Getis-Ord Gi* analiza (Analiza vrelih tačaka)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka1995–2000s1992–1995
TvoracAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticiansArthur Getis and J. Keith Ord
TipLocal spatial autocorrelation statistic (robust variant)Local spatial association statistic
Temeljni izvorAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗
Drugi naziviRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weightsGi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic
Srodne65
SažetakRobust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence.
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ScholarGateUporedite metode: Robust Local Indicators of Spatial Association · Local Getis-Ord Gi*. Preuzeto 2026-06-20 sa https://scholargate.app/sr/compare