ScholarGate
助手
Regression modelGIS / spatial

局部克里金(移动窗口克里金)

局部克里金是一种空间自适应的地统计学插值方法,它将每次预测限制在附近观测值的移动邻域内,并在该窗口内局部拟合变异函数模型。这允许空间协方差结构在研究区域内变化,而不是强制采用单一的全局变异函数,使其更适合大型或非平稳的空间场。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI: 10.1016/0960-1686(90)90508-K
  2. Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383

如何引用本页

ScholarGate. (2026, June 3). Local (Moving-Window) Kriging. ScholarGate. https://scholargate.app/zh/spatial-analysis/local-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.

Compare side by side

被引用于

ScholarGateLocal Kriging (Local (Moving-Window) Kriging). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/local-kriging · 数据集: https://doi.org/10.5281/zenodo.20539026