Linganisha mbinu

	Local Spatial Durbin Model	Mchoro wa Kanga wa Kijiografia (SDM)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	2002–2009	2009
Mwanzilishi	LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework	LeSage & Pace
Aina	Spatially varying regression model	Spatial regression model
Chanzo asilia	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press.
Majina mbadala	local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model	SDM, spatial mixed model, uzamsal durbin modeli
Zinazohusiana	5	5
Muhtasari	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.	The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases.