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راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| الانحدار المكاني عبر الزمان والمكان× | نموذج التباطؤ المكاني (SAR / الانحدار الذاتي المكاني)× | |
|---|---|---|
| المجال | التحليل المكاني | التحليل المكاني |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1990s–2000s | 1988 |
| صاحب الطريقة≠ | Anselin, LeSage, Pace and colleagues in spatial econometrics | Anselin (textbook formalisation); LeSage & Pace |
| النوع≠ | Spatio-temporal regression model | Spatial autoregressive regression |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | 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) |
| ذات صلة≠ | 6 | 5 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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