Regression modelGIS / spatial
全局通用克里金
全局通用克里金 (Global Universal Kriging) 是一种地统计学插值方法，它将空间变化的趋势（漂移）建模为坐标的确定性函数，并利用整个数据集同时拟合趋势系数和残差变异函数。该方法在考虑了整个研究区域的大尺度空间梯度后，能够产生最优的线性无偏预测以及点估计不确定性。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608
- Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley, New York. ISBN: 978-0471083153
如何引用本页
ScholarGate. (2026, June 3). Global Universal Kriging. ScholarGate. https://scholargate.app/zh/spatial-analysis/global-universal-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
- Local Universal Kriging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