方法对比

	全局克里金法	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	1960s–1993	1969
提出者	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	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-Interscience. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
别名	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
相关	5	3
摘要	Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.	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.