مقایسهٔ روشها
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| رگرسیون فضایی-زمانی فضایی× | مدل وقفه فضایی (SAR / خودرگرسیون فضایی)× | |
|---|---|---|
| حوزه | تحلیل فضایی | تحلیل فضایی |
| خانواده | Regression model | Regression model |
| سال پیدایش≠ | 1990s–2000s | 1988 |
| پدیدآور≠ | Anselin, LeSage, Pace and colleagues in spatial econometrics | Anselin (textbook formalisation); LeSage & Pace |
| نوع≠ | Spatio-temporal regression model | Spatial autoregressive regression |
| منبع بنیادین≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| نامهای دیگر | spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| مرتبط≠ | 6 | 5 |
| خلاصه≠ | Space-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data. | 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. |
| ScholarGateمجموعهداده ↗ |
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