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مدل فضایی جهانی دوربین (SDM)×رگرسیون وزنی جغرافیایی (GWR)×
حوزهتحلیل فضاییتحلیل فضایی
خانوادهRegression modelRegression model
سال پیدایش20092002
پدیدآورDurbin (1960); adapted to spatial context by LeSage & Pace (2009)Fotheringham, Brunsdon & Charlton
نوعSpatial regression modelLocal spatial regression
منبع بنیادینLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
نام‌های دیگرSDM, Spatial Durbin Model, global SDM, spatially lagged X model with spatial lagGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
مرتبط55
خلاصهThe Global Spatial Durbin Model extends the spatial lag model by including not only a spatially lagged dependent variable but also spatially lagged independent variables (WX). A single set of global coefficients applies uniformly across all locations, making it suitable for estimating average spillover effects when spatial dependence is pervasive throughout the study region.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.
ScholarGateمجموعه‌داده
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  3. PUBLISHED
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Global Spatial Durbin Model · Geographically Weighted Regression. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare