So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Hồi quy Không gian-Thời gian× | Mô hình Durbin Không gian (Spatial Durbin Model - SDM)× | |
|---|---|---|
| Lĩnh vực | Phân tích không gian | Phân tích không gian |
| Họ | Regression model | Regression model |
| Năm ra đời≠ | 1990s–2000s | 2009 |
| Người khởi xướng≠ | Anselin, LeSage, Pace and colleagues in spatial econometrics | LeSage & Pace |
| Loại≠ | Spatio-temporal regression model | Spatial regression model |
| Công trình gốc≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Tên gọi khác≠ | spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression | SDM, spatial mixed model, uzamsal durbin modeli |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | 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 Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
| ScholarGateBộ dữ liệu ↗ |
|
|