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Robustne C Geary’ego×Moran's I×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1954 (base); robust variants: 1990s–2000s1950
TwórcaGeary (1954); robust extensions by Anselin and spatial statisticiansPatrick A. P. Moran
TypRobust spatial autocorrelation statisticSpatial autocorrelation statistic
Źródło pierwotneGeary, 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 ↗
Inne nazwyrobust 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
Pokrewne66
PodsumowanieRobust 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.
ScholarGateZbiór danych
  1. v1
  2. 2 Źródła
  3. PUBLISHED
  1. v1
  2. 2 Źródła
  3. PUBLISHED

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