Regression modelGIS / spatial
普通克里金法
普通克里金法 (Ordinary Kriging, OK) 是地统计学中用于在未采样位置插值连续空间变量的标准方法。它从数据的空间协方差结构中导出最优的无偏权重，使其成为平稳性假设下的最佳线性无偏预测器 (Best Linear Unbiased Predictor, BLUP)。与简单的基于距离的方法不同，它还能在每个插值点提供预测不确定性（克里金方差）。
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来源
- Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266. DOI: 10.2113/gsecongeo.58.8.1246 ↗
- Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). Wiley-Interscience. ISBN: 978-0471002550
如何引用本页
ScholarGate. (2026, June 3). Ordinary Kriging Spatial Interpolation. ScholarGate. https://scholargate.app/zh/spatial-analysis/ordinary-kriging
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