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Vícestupňová Moranův I×Prostorová autokorelace×
OborProstorová analýzaProstorová analýza
RodinaRegression modelRegression model
Rok vzniku1950 (base); multiscale variant 1980s-1990s1950
TvůrceP. A. P. Moran (base statistic, 1950); multiscale extension developed through spatial ecology and geography literatureP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
TypSpatial autocorrelation statisticSpatial statistic / exploratory spatial data analysis
Původní zdrojMoran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1-2), 17-23. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Další názvymulti-scale Moran's I, spatial correlogram Moran, Moran correlogram, multiscale spatial autocorrelationspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Příbuzné65
ShrnutíMultiscale Moran's I extends the classic global Moran's I statistic by computing spatial autocorrelation across a series of distance lags or spatial scales. The resulting spatial correlogram reveals at which geographic scales clusters or dispersions of a variable exist, offering richer insight than a single summary statistic.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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ScholarGatePorovnat metody: Multiscale Moran's I · Spatial Autocorrelation. Získáno 2026-06-18 z https://scholargate.app/cs/compare