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Indicateurs Locaux d'Association Spatiale en Panel (Panel LISA)×Indicateurs Locaux d'Association Spatiale (LISA)×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine1995 (LISA); panel extension 2000s–2010s1995
Auteur d'origineAnselin (1995), panel extension developed through spatial econometrics literatureLuc Anselin
TypeLocal spatial autocorrelation statisticLocal spatial statistic
Source fondatriceAnselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗
AliasPanel LISA, spatiotemporal LISA, panel local spatial autocorrelation, LISA panel extensionLISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA
Apparentées46
RésuméPanel 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.LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence.
ScholarGateJeu de données
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  1. v1
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  3. PUBLISHED

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ScholarGateComparer des méthodes: Panel Local Indicators of Spatial Association · Local Indicators of Spatial Association. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare