Comparar métodos

	Modelo de Durbin Espacial Local	Modelo de Lag Espacial Local
Área	Análise espacial	Análise espacial
Família	Regression model	Regression model
Ano de origem	2002–2009	1988 (global); 2000s (local extensions)
Autor original	LeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR framework	Anselin (global SLM, 1988); local extension via Fotheringham, Brunsdon & Charlton (GWR framework, 2002)
Tipo	Spatially varying regression model	Spatially varying regression model
Fonte seminal	LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737215
Outros nomes	local SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin model	local SLM, geographically weighted spatial lag model, GW-SLM, spatially varying lag model
Relacionados	5	5
Resumo	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 Local Spatial Lag Model extends the classical spatial lag model by allowing both the spatial autocorrelation parameter and the regression coefficients to vary across geographic locations. Instead of one global estimate of how neighboring outcomes influence each observation, the model fits location-specific parameters using kernel-weighted local estimation, revealing spatial heterogeneity in spatial dependence.