Comparer des méthodes

	Analyse Spatiale de Réseaux en Données de Panel	Régression Géographiquement Pondérée sur Données de Panel (Panel GWR)
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	2000s–2010s	2000s–2010s
Auteur d'origine	Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks	Fotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literature
Type	Panel spatial regression	Local spatial regression with panel structure
Source fondatrice	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Alias	panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA	Panel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regression
Apparentées	5	4
Résumé	Panel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects.	Panel 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.