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Regression model

克里金空间插值

克里金是一种地统计学方法,它利用变异函数捕捉到的空间相关结构,根据邻近的测量值预测未测量位置的连续变量值。该方法由 Georges Matheron 于 1963 年正式提出,是空间数据的最佳线性无偏预测器 (BLUP),有普通克里金、普遍克里金和协同克里金等形式。

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来源

  1. Matheron, G. (1963). Principles of Geostatistics. Economic Geology, 58(8), 1246–1266. DOI: 10.2113/gsecongeo.58.8.1246
  2. Cressie, N. (1993). Statistics for Spatial Data (Revised ed.). Wiley. ISBN: 978-0471002550

如何引用本页

ScholarGate. (2026, June 1). Kriging Spatial Interpolation. ScholarGate. https://scholargate.app/zh/spatial-analysis/kriging-interpolation

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被引用于

ScholarGateKriging (Kriging Spatial Interpolation). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/kriging-interpolation · 数据集: https://doi.org/10.5281/zenodo.20539026