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Regressió Geogràficament Ponderada de Panells (Panel GWR)×Regressió Ponderada Geogràficament (GWR)×
CampAnàlisi espacialAnàlisi espacial
FamíliaRegression modelRegression model
Any d'origen2000s–2010s2002
Autor originalFotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literatureFotheringham, Brunsdon & Charlton
TipusLocal spatial regression with panel structureLocal spatial regression
Font seminalFotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
ÀliesPanel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regressionGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Relacionats45
ResumPanel 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.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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ScholarGateCompara mètodes: Panel Geographically Weighted Regression · Geographically Weighted Regression. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare