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Solidne lokalne wskaźniki stowarzyszenia przestrzennego (Robust LISA)×Lokalna statystyka C Geary'ego×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1995–2000s1995
TwórcaAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticiansLuc Anselin
TypLocal spatial autocorrelation statistic (robust variant)Local spatial statistic
Źródło pierwotneAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
Inne nazwyRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weightsLocal Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Pokrewne66
PodsumowanieRobust Local Indicators of Spatial Association extend Anselin's LISA framework to handle outliers, extreme values, and spatially heterogeneous populations. By applying outlier-resistant adjustments to the spatial weights or the standardised values, Robust LISA identifies statistically significant local clusters and spatial outliers without the distortions caused by highly influential observations.Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.
ScholarGateZbiór danych
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  1. v1
  2. 2 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Robust Local Indicators of Spatial Association · Local Geary's C. Pobrano 2026-06-20 z https://scholargate.app/pl/compare