手法を比較

	時空間的空間回帰分析	地理的に重み付けされた回帰分析 (GWR)
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1990s–2000s	2002
提唱者	Anselin, LeSage, Pace and colleagues in spatial econometrics	Fotheringham, Brunsdon & Charlton
種類	Spatio-temporal regression model	Local spatial regression
原典	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
別名	spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
関連	6	5
概要	Space-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data.	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.