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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Moran's I Robust×Treguesit Lokalë të Fortë të Shoqatës Hapësinore (Robust LISA)×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1990s–2000s1995–2000s
KrijuesiExtension of Moran (1950); robust adaptations developed in spatial statistics literatureAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians
LlojiRobust spatial autocorrelation statisticLocal spatial autocorrelation statistic (robust variant)
Burimi themeluesAnselin, 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 ↗
Emërtime të tjeraoutlier-resistant Moran's I, robust spatial autocorrelation test, median-based Moran statistic, robust global spatial associationRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights
Të lidhura66
PërmbledhjaRobust 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.Robust 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.
ScholarGateSeti i të dhënave
  1. v1
  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Robust Moran's I · Robust Local Indicators of Spatial Association. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare