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Пространствен модел на Дюрбин (SDM)×Географски претеглена регресия (GWR)×
ОбластПространствен анализПространствен анализ
СемействоRegression modelRegression model
Година на възникване20092002
СъздателLeSage & PaceFotheringham, Brunsdon & Charlton
ТипSpatial regression modelLocal spatial regression
Основополагащ източникLeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Други названияSDM, spatial mixed model, uzamsal durbin modeliGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Свързани55
РезюмеThe 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.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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 1 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Spatial Durbin Model · Geographically Weighted Regression. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare