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パネル地理的加重回帰 (Panel GWR)×パネル空間誤差モデル×
分野空間分析空間分析
系統Regression modelRegression model
提唱年2000s–2010s1988 / 2003
提唱者Fotheringham, Brunsdon & Charlton (foundational GWR); panel extension developed in spatial econometrics literatureAnselin (1988); extended to panels by Elhorst (2003, 2014)
種類Local spatial regression with panel structureSpatial econometric panel model
原典Fotheringham, 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
別名Panel GWR, PGWR, spatiotemporal GWR, geographically weighted panel regressionpanel SEM, spatial error panel model, panel spatial autocorrelation error model, SEM panel
関連45
概要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.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.
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  3. PUBLISHED

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ScholarGate手法を比較: Panel Geographically Weighted Regression · Panel Spatial Error Model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare