Comparer des méthodes

	Indicateurs Locaux Robustes d'Association Spatiale (LISA Robust)	I de Moran local (LISA)
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1995–2000s	1995
Auteur d'origine	Anselin (LISA, 1995); robust extensions by Assuncao & Reis and subsequent spatial statisticians	Luc Anselin
Type	Local spatial autocorrelation statistic (robust variant)	Local spatial autocorrelation statistic
Source fondatrice	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
Alias	Robust LISA, outlier-resistant LISA, robust local spatial autocorrelation, LISA with robust weights	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
Apparentées	6	6
Résumé	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.	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.