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Krahasoni metodat

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

Treguesit Lokalë të Fortë të Shoqatës Hapësinore (Robust LISA)×Autokorrelacioni Hapësinor×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1995–2000s1950
KrijuesiAnselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticiansP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
LlojiLocal spatial autocorrelation statistic (robust variant)Spatial statistic / exploratory spatial data analysis
Burimi themeluesAnselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Emërtime të tjeraRobust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weightsspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Të lidhura65
PërmbledhjaRobust 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.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
ScholarGateSeti i të dhënave
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  1. v1
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ScholarGateKrahasoni metodat: Robust Local Indicators of Spatial Association · Spatial Autocorrelation. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare