Comparer des méthodes

	Autocorrélation spatiale globale	Autocorrélation spatiale locale
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1950	1995
Auteur d'origine	P. A. P. Moran (Moran's I, 1950); generalized by Luc Anselin	Luc Anselin
Type	Spatial statistic / hypothesis test	Spatial association analysis
Source fondatrice	Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Alias	global spatial dependence, global Moran's I, GSA, global spatial clustering measure	local spatial association, local SA, LISA methods, local spatial clustering
Apparentées	6	6
Résumé	Global Spatial Autocorrelation measures the degree to which similar values cluster together across an entire study area. Rather than identifying where clusters occur, it yields a single summary statistic — most commonly Moran's I — that quantifies whether spatial proximity coincides with value similarity, dissimilarity, or randomness across all observations simultaneously.	Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.