विधियों की तुलना करें

	Local Spatial Durbin Model	भौगोलिक भारित प्रतिगमन (GWR)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	2002–2009	2002
प्रवर्तक	LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework	Fotheringham, Brunsdon & Charlton
प्रकार	Spatially varying regression model	Local spatial regression
मौलिक स्रोत	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
उपनाम	local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
संबंधित	5	5
सारांश	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.