Regression modelGIS / spatial
贝叶斯普通克里金
贝叶斯普通克里金是一种地统计学插值方法，它将经典的普通克里金与贝叶斯框架相结合，以联合估计空间协方差参数并在未采样位置进行预测。与即插即用克里金不同，它将变异函数参数的不确定性传播到预测分布中，从而实现更真实的که uncertainty量化。
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来源
- Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079
- Handcock, M. S., & Stein, M. L. (1993). A Bayesian analysis of kriging. Technometrics, 35(4), 403-410. DOI: 10.1080/00401706.1993.10485354 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Ordinary Kriging. ScholarGate. https://scholargate.app/zh/spatial-analysis/bayesian-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.
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