विधियों की तुलना करें

	स्थानीय स्थानिक प्रतिगमन (Local Spatial Regression)	स्थानिक डर्बिन मॉडल (SDM)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1996	2009
प्रवर्तक	Brunsdon, Fotheringham & Charlton	LeSage & Pace
प्रकार	Spatially varying coefficient regression	Spatial regression model
मौलिक स्रोत	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168	LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press.
उपनाम	locally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regression	SDM, spatial mixed model, uzamsal durbin modeli
संबंधित	6	5
सारांश	Local Spatial Regression fits a separate regression model at each location in a study area, allowing regression coefficients to vary continuously across space. Rather than forcing one global slope on all observations, it reveals where and how the relationship between predictors and an outcome changes geographically — producing a map of coefficients rather than a single number.	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.