Linganisha mbinu

	Mfumo wa SAC wa Kijiografia	Mchoro wa Kanga wa Kijiografia (SDM)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	2009	2009
Mwanzilishi	James LeSage & R. Kelley Pace	LeSage & Pace
Aina	Combined spatial dependence regression model	Spatial regression model
Chanzo asilia	LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. ISBN: 978-1-4200-6424-7	LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press.
Majina mbadala	SARAR Model, Spatial Autoregressive Model with Autoregressive Disturbances, Cliff-Ord Combined Model, Uzamsal Otoregresif Birleşik Model	SDM, spatial mixed model, uzamsal durbin modeli
Zinazohusiana	3	5
Muhtasari	The Spatial Autoregressive Combined (SAC) model, also known as the SARAR model, simultaneously accounts for spatial dependence in both the dependent variable and the error term. Formalized by LeSage and Pace (2009), the SAC model combines the spatial lag model and the spatial error model into a single framework, estimating two distinct spatial autoregressive parameters — one capturing substantive spatial interaction among outcomes and another capturing residual spatial correlation among disturbances.	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.