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Globálna priestorová autokorelácia×Analýza horúcich bodov (Getis-Ord Gi*)×
OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku19501992
TvorcaP. A. P. Moran (Moran's I, 1950); generalized by Luc AnselinArthur Getis and J. Keith Ord
TypSpatial statistic / hypothesis testLocal spatial statistic
Pôvodný zdrojMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗
Ďalšie názvyglobal spatial dependence, global Moran's I, GSA, global spatial clustering measureGetis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA
Príbuzné65
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.Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation.
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ScholarGatePorovnať metódy: Global Spatial Autocorrelation · Hot Spot Analysis. Získané 2026-06-19 z https://scholargate.app/sk/compare