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OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku19501995
TvorcaP. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinLuc Anselin
TypSpatial statistic / hypothesis testSpatial association analysis
Pôvodný zdrojMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Ďalšie názvyglobal spatial dependence, global Moran's I, GSA, global spatial clustering measurelocal spatial association, local SA, LISA methods, local spatial clustering
Príbuzné66
ZhrnutieGlobal Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.
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ScholarGatePorovnať metódy: Global Spatial Autocorrelation · Local Spatial Autocorrelation. Získané 2026-06-18 z https://scholargate.app/sk/compare