Usporedite metode

	Lokalni prostorni Durbin model	Geographically Weighted Regression (GWR)
Područje	Prostorna analiza	Prostorna analiza
Obitelj	Regression model	Regression model
Godina nastanka	2002–2009	2002
Tvorac	LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework	Fotheringham, Brunsdon & Charlton
Vrsta	Spatially varying regression model	Local spatial regression
Temeljni izvor	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
Drugi nazivi	local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne	5	5
Sažetak	The Local Spatial Durbin Model (Local SDM) extends the global Spatial Durbin Model by allowing regression coefficients to vary across geographic space. It combines the SDM's ability to capture both spatial lag of the dependent variable and spatial lags of covariates with a geographically weighted estimation framework, producing location-specific direct and indirect spillover effects.	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.