Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пространственно-временная модель пространственной ошибки× | Пространственно-временная пространственная регрессия× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1988 (SEM); 2003 (panel/space-time extension) | 1990s–2000s |
| Автор метода≠ | Anselin (1988); panel extension by Elhorst (2003, 2014) | Anselin, LeSage, Pace and colleagues in spatial econometrics |
| Тип≠ | Spatial panel regression | Spatio-temporal regression model |
| Основополагающий источник≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247 | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 |
| Другие названия | SEM panel, spatial error panel model, space-time SEM, spatiotemporal error model | spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression |
| Связанные | 6 | 6 |
| Сводка≠ | The Space-Time Spatial Error Model (space-time SEM) is a spatial panel regression technique that accounts for spatial dependence confined to the error term across geographic units and time periods. It corrects biased inference caused by spatially correlated disturbances while estimating covariate effects on a panel of spatial observations. | 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. |
| ScholarGateНабор данных ↗ |
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