方法对比

	局部普通克里金法	通用克里金 (带趋势的克里金)
领域	空间分析	空间分析
方法族	Regression model	Regression model
起源年份	1970s–1990s	1969
提出者	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Georges Matheron
类型	Geostatistical interpolation (local/moving-window variant)	Geostatistical interpolation with spatial trend
开创性文献	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
别名	moving window kriging, local kriging, neighborhood kriging, LOK	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
相关	5	3
摘要	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.	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.