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Regresia ponderată geografic pe panel (Panel GWR)×Regresia ponderată geografic (GWR)×
DomeniuAnaliză spațialăAnaliză spațială
FamilieRegression modelRegression model
Anul apariției2000s–2010s2002
Autorul originalFotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literatureFotheringham, Brunsdon & Charlton
TipLocal spatial regression with panel structureLocal spatial regression
Sursa seminalăFotheringham, 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
Denumiri alternativePanel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regressionGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Înrudite45
RezumatPanel 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.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 1 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Panel Geographically Weighted Regression · Geographically Weighted Regression. Preluat la 2026-06-19 de pe https://scholargate.app/ro/compare