Regression modelGIS / spatial
局部普通克里金法
局部普通克里金法 (LOK) 是一种地统计插值方法，它仅使用空间定义的邻近观测移动窗口来估计未采样位置的值。通过将每个预测限制在局部数据窗口而非整个数据集，LOK 能够适应空间非平稳性，降低计算成本，并且通常比全局普通克里金法产生更准确的局部预测。
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来源
- Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153
- Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 978-0195115383
如何引用本页
ScholarGate. (2026, June 3). Local Ordinary Kriging (Moving Window Kriging). ScholarGate. https://scholargate.app/zh/spatial-analysis/local-ordinary-kriging
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.
- 协克里金：多元地统计学插值空间分析↔ compare
- 地理加权回归 (GWR)空间分析↔ compare
- 多尺度地理加权回归 (MGWR)空间分析↔ compare
- 普通克里金法空间分析↔ compare
- 通用克里金 (带趋势的克里金)空间分析↔ compare