Сравнение на методи
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| Пространствено-времева пространствена регресия× | Пространствен лаг модел (SAR / Spatial Autoregressive)× | |
|---|---|---|
| Област | Пространствен анализ | Пространствен анализ |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1990s–2000s | 1988 |
| Създател≠ | Anselin, LeSage, Pace and colleagues in spatial econometrics | Anselin (textbook formalisation); LeSage & Pace |
| Тип≠ | Spatio-temporal regression model | Spatial autoregressive regression |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | 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) |
| Свързани≠ | 6 | 5 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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