方法对比

	Local Universal Kriging	局部普通克里金法
领域	空间分析	空间分析
方法族	Regression model	Regression model
起源年份	1969/1997	1970s–1990s
提出者	Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner
类型	Spatial interpolation model	Geostatistical interpolation (local/moving-window variant)
开创性文献	Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153
别名	local UK, local kriging with trend, local KED, local kriging with external drift	moving window kriging, local kriging, neighborhood kriging, LOK
相关	5	5
摘要	Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface.	Local Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging.