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Локални индикатори просторне асоцијације (LISA)×Prostorna autokorelacija×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka19951950
TvoracLuc AnselinP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
TipLocal spatial statisticSpatial statistic / exploratory spatial data analysis
Temeljni izvorAnselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Drugi naziviLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISAspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Srodne65
SažetakLISA, 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.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
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ScholarGateUporedite metode: Local Indicators of Spatial Association · Spatial Autocorrelation. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare