Regression modelGIS / spatial
局部空间滞后模型
局部空间滞后模型(Local Spatial Lag Model)扩展了经典的全局空间滞后模型,允许空间自相关参数和回归系数在地理位置上变化。该模型不采用单一的全局估计来衡量邻近观测值如何影响每个观测值,而是使用核加权局部估计来拟合特定位置的参数,从而揭示空间依赖性的空间异质性。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737215
- 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 Lag Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/local-spatial-lag-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
- 局部空间杜宾模型空间分析↔ compare
- 多尺度地理加权回归 (MGWR)空间分析↔ compare
- 空间自相关空间分析↔ compare
- 空间滞后模型(SAR / 空间自回归)空间分析↔ compare