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Robust Moran's I×Lokalny wskaźnik Morana (LISA)×
DziedzinaAnaliza przestrzennaAnaliza przestrzenna
RodzinaRegression modelRegression model
Rok powstania1990s–2000s1995
TwórcaExtension of Moran (1950); robust adaptations developed in spatial statistics literatureLuc Anselin
TypRobust spatial autocorrelation statisticLocal spatial autocorrelation 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 nazwyoutlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial associationLocal Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
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.Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.
ScholarGateZbiór danych
  1. v1
  2. 2 Źródła
  3. PUBLISHED
  1. v1
  2. 2 Źródła
  3. PUBLISHED

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