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Robustne C Geary’ego×Robust Moran's I×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1954 (base); robust variants: 1990s–2000s1990s–2000s
TwórcaGeary (1954); robust extensions by Anselin and spatial statisticiansExtension of Moran (1950); robust adaptations developed in spatial statistics literature
TypRobust spatial autocorrelation statisticRobust spatial autocorrelation statistic
Źródło pierwotneGeary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Inne nazwyrobust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary Coutlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial association
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.Robust 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.
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 · Robust Moran's I. Pobrano 2026-06-18 z https://scholargate.app/pl/compare