Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Панелен пространствен модел на Дърбин× | Географски претеглена регресия (GWR)× | |
|---|---|---|
| Област | Пространствен анализ | Пространствен анализ |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 2009–2010 | 2002 |
| Създател≠ | LeSage & Pace (2009); panel extension by Elhorst (2010) | Fotheringham, Brunsdon & Charlton |
| Тип≠ | Spatial panel regression | Local spatial regression |
| Основополагащ източник≠ | Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408 | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 |
| Други названия | SDM panel, spatial Durbin panel model, panel SDM, PSDM | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) |
| Свързани | 5 | 5 |
| Резюме≠ | The Panel Spatial Durbin Model (PSDM) extends the cross-sectional Spatial Durbin Model to panel data, capturing both spatial lag dependence in the outcome and spatial spillovers from neighbouring units' explanatory variables across multiple time periods. It simultaneously accounts for unobserved unit-specific and time-specific heterogeneity, making it one of the most comprehensive spatial panel specifications available. | Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships. |
| ScholarGateНабор от данни ↗ |
|
|