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مدل پانل فضایی بیزی×مدل وقفه فضایی (SAR / خودرگرسیون فضایی)×
حوزهتحلیل فضاییتحلیل فضایی
خانوادهRegression modelRegression model
سال پیدایش2009–20141988
پدیدآورLeSage & Pace; ElhorstAnselin (textbook formalisation); LeSage & Pace
نوعBayesian spatial panel regressionSpatial autoregressive regression
منبع بنیادینLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
نام‌های دیگرBayesian spatial panel, Bayesian spatial econometrics panel, BSPM, Bayesian panel spatial regressionSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
مرتبط55
خلاصهThe Bayesian Spatial Panel Model estimates spatial interaction effects (spatial lag, spatial error, or Durbin) in panel data using Bayesian inference via Markov Chain Monte Carlo (MCMC). It combines the ability to control for unobserved unit- and time-specific heterogeneity with principled uncertainty quantification, making it suitable for georeferenced longitudinal datasets in economics, public health, and regional science.The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.
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ScholarGateمقایسهٔ روش‌ها: Bayesian Spatial Panel Model · Spatial Lag Model. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare