手法を比較

	局所的普遍クレージング	Ordinary Kriging
分野	空間分析	空間分析
系統	Regression model	Regression model
提唱年	1969/1997	1963
提唱者	Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice	Georges Matheron (formalising D.G. Krige's empirical work)
種類	Spatial interpolation model	Geostatistical interpolation
原典	Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
別名	local UK, local kriging with trend, local KED, local kriging with external drift	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
関連	5	4
概要	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.	Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.