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Robust Geary's C×Moran's I×
NozareTelpiskā analīzeTelpiskā analīze
SaimeRegression modelRegression model
Izcelsmes gads1954 (base); robust variants: 1990s–2000s1950
AutorsGeary (1954); robust extensions by Anselin and spatial statisticiansPatrick A. P. Moran
TipsRobust spatial autocorrelation statisticSpatial autocorrelation statistic
PirmavotsGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Citi nosaukumirobust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary CMoran's I statistic, global Moran's I, spatial autocorrelation index, Moran index
Saistītās66
KopsavilkumsRobust 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.Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number.
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ScholarGateSalīdzināt metodes: Robust Geary's C · Moran's I. Izgūts 2026-06-18 no https://scholargate.app/lv/compare