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Régression Géographiquement Pondérée sur Données de Panel (Panel GWR)×Modèle d'erreur spatiale de panel×
DomaineAnalyse spatialeAnalyse spatiale
FamilleRegression modelRegression model
Année d'origine2000s–2010s1988 / 2003
Auteur d'origineFotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literatureAnselin (1988); extended to panels by Elhorst (2003, 2014)
TypeLocal spatial regression with panel structureSpatial econometric panel model
Source fondatriceFotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408
AliasPanel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regressionpanel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel
Apparentées45
RésuméPanel Geographically Weighted Regression (Panel GWR) extends the standard GWR framework to panel data, allowing regression coefficients to vary both across geographic locations and over time. It captures spatially non-stationary relationships in longitudinal or repeated-measures spatial datasets, combining local spatial estimation with panel-data controls for unit-specific heterogeneity.The Panel Spatial Error Model (panel SEM) extends the classical spatial error model to panel data, allowing spatial dependence to enter through the error term across cross-sectional units over multiple time periods. It accounts for spatially correlated omitted variables without imposing a substantive spatial spillover in the outcome itself.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Panel Geographically Weighted Regression · Panel Spatial Error Model. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare