Regression modelGIS / spatial
时空空间回归
时空空间回归将经典空间回归扩展到面板设置,在这些设置中,地理参考单元在多个时间段内被观测。通过将空间权重矩阵嵌入面板回归框架,它同时控制了横截面单元之间的空间依赖性和时间动态性,从而在时空数据中产生无偏且一致的估计。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
- Anselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In L. Matyas & P. Sevestre (Eds.), The Econometrics of Panel Data (pp. 625-660). Springer. link ↗
如何引用本页
ScholarGate. (2026, June 3). Space-Time Spatial Regression Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/space-time-spatial-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 地理加权回归 (GWR)空间分析↔ compare
- 面板空间回归空间分析↔ compare
- 时空克里金空间分析↔ compare
- 空间杜宾模型 (SDM)空间分析↔ compare
- 空间误差模型 (SEM)空间分析↔ compare
- 空间滞后模型(SAR / 空间自回归)空间分析↔ compare