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Robust Moran's I×Robustne C Geary’ego×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1990s–2000s1954 (base); robust variants: 1990s–2000s
TwórcaExtension of Moran (1950); robust adaptations developed in spatial statistics literatureGeary (1954); robust extensions by Anselin and spatial statisticians
TypRobust spatial autocorrelation statisticRobust spatial autocorrelation statistic
Źródło pierwotneAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗
Inne nazwyoutlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial associationrobust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary C
Pokrewne66
PodsumowanieRobust Moran's I is an outlier-resistant adaptation of the classic Moran's I spatial autocorrelation statistic. By replacing the standard mean-based standardization with resistant measures of center and spread, it detects genuine geographic clustering without being distorted by a small number of extreme values in the attribute of interest.Robust Geary's C adapts the classical Geary contiguity ratio — a measure of spatial autocorrelation based on pairwise squared differences between neighbouring locations — to resist distortion by spatial outliers and influential observations. It retains the local sensitivity of Geary's C while producing more reliable inferences when the spatial data contain extreme values or non-normal distributions.
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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: Robust Moran's I · Robust Geary's C. Pobrano 2026-06-18 z https://scholargate.app/pl/compare