方法对比

	协克里金：多元地统计学插值	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	1965-1978	1969
提出者	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron
类型	Geostatistical interpolation	Geostatistical interpolation with spatial trend
开创性文献	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
别名	cokriging, co-regionalization kriging, multivariate kriging, CK	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
相关	5	3
摘要	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.	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.