Comparer des méthodes

	Test d'autocorrélation spatiale I de Moran	Modèle d'erreur spatiale (SEM)
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1950	1988
Auteur d'origine	Patrick A. P. Moran	Anselin
Type	Global spatial autocorrelation statistic	Spatial regression (spatially autocorrelated errors)
Source fondatrice	Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23.	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic.
Alias	global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi	SEM, spatial error regression, spatial autoregressive error model, Uzamsal Hata Modeli (SEM / Spatial Error)
Apparentées	5	5
Résumé	Moran's I is a global statistic, introduced by Patrick Moran in 1950, that measures whether and how a continuous variable is spatially autocorrelated across mapped units. A positive value signals clustering of similar values, a negative value signals a dispersed (checkerboard) pattern, and it is most often used as a diagnostic before moving to spatial regression.	The Spatial Error Model, developed within Anselin's spatial econometrics framework (1988), is a regression model that assumes spatial dependence enters through the error term: the disturbances of neighbouring units are correlated. It is used when unobserved shared factors make the errors of nearby observations move together, and it is estimated by maximum likelihood or GMM rather than ordinary least squares.