Regression modelGIS / spatial
局部空间杜宾模型
局部空间杜宾模型（Local SDM）通过允许回归系数在地理空间上变化，扩展了全局空间杜宾模型。它结合了 SDM 捕捉因变量空间滞后和协变量空间滞后的能力，以及地理加权估计框架，从而产生特定于地点的直接和间接溢出效应。
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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
- Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
如何引用本页
ScholarGate. (2026, June 3). Local Spatial Durbin Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/local-spatial-durbin-model
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
- 局部空间滞后模型空间分析↔ compare
- 局部空间回归空间分析↔ compare
- 多尺度地理加权回归 (MGWR)空间分析↔ compare
- 空间杜宾模型 (SDM)空间分析↔ compare