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Robusni lokalni indikatori prostorne asocijacije (Robust LISA)×Локални индикатори просторне асоцијације (LISA)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka1995–2000s1995
TvoracAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticiansLuc Anselin
TipLocal spatial autocorrelation statistic (robust variant)Local 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 naziviRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weightsLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Srodne66
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.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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ScholarGateUporedite metode: Robust Local Indicators of Spatial Association · Local Indicators of Spatial Association. Preuzeto 2026-06-20 sa https://scholargate.app/sr/compare