方法对比

	全局普通克里金	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	1951–1963	1969
提出者	Danie G. Krige; formalized by Georges Matheron	Georges Matheron
类型	Geostatistical interpolation	Geostatistical interpolation with spatial trend
开创性文献	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
别名	ordinary kriging, OK, global kriging, stationary ordinary kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
相关	5	3
摘要	Global Ordinary Kriging (GOK) is the canonical geostatistical interpolation method that estimates values at unsampled locations as a weighted linear combination of nearby observations. It fits a single variogram model to the entire dataset, enforcing a global stationarity assumption, and produces optimal unbiased predictions along with quantified prediction uncertainty at every interpolated point.	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.