Regression modelGIS / spatial
局部空间回归
局部空间回归在研究区域的每个位置拟合一个单独的回归模型，允许回归系数在空间上连续变化。它不强制所有观测值具有单一的全局斜率，而是揭示了预测变量与结果之间的关系在地理上何处以及如何变化——产生的是系数图而不是单个数字。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
- Brunsdon, C., Fotheringham, A. S., & Charlton, M. (1996). Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical Analysis, 28(4), 281-298. DOI: 10.1111/j.1538-4632.1996.tb00936.x ↗
如何引用本页
ScholarGate. (2026, June 3). Local Spatial Regression. ScholarGate. https://scholargate.app/zh/spatial-analysis/local-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
- 局部空间滞后模型空间分析↔ 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
- 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