Comparer des méthodes

	Indicateurs Locaux d'Association Spatiale en Panel (Panel LISA)	Autocorrélation spatiale de panel
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1995 (LISA); panel extension 2000s–2010s	1988–2003
Auteur d'origine	Anselin (1995), panel extension developed through spatial econometrics literature	Anselin, L.; Elhorst, J. P.
Type	Local spatial autocorrelation statistic	Diagnostic test / exploratory statistic
Source fondatrice	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (2013). Spatial Econometrics: Methods and Models. Springer Netherlands. (Originally published 1988.) ISBN: 978-9401577991
Alias	Panel LISA, spatiotemporal LISA, panel local spatial autocorrelation, LISA panel extension	spatial autocorrelation in panel data, panel spatial dependence, spatio-temporal autocorrelation, cross-sectional dependence in panels
Apparentées	4	5
Résumé	Panel Local Indicators of Spatial Association extends Anselin's LISA statistics — most commonly Local Moran's I — to panel datasets, identifying spatial clusters and outliers at each location across multiple time periods. By applying local autocorrelation measures repeatedly over time, researchers can detect whether spatial concentration patterns emerge, persist, or dissolve, giving a richer spatiotemporal picture than a single cross-section allows.	Panel Spatial Autocorrelation measures whether observations that are geographically close also tend to have similar values across repeated time periods. It extends classic cross-sectional spatial autocorrelation statistics such as Moran's I to panel data, enabling researchers to detect spatial dependence consistently over time and to diagnose whether a panel regression model requires a spatial component.