Cokriging random fields with means related by known linear combinations

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• 作者：Xavier  ; Emery^a ;   ; ^b ;   ; ^{xemery@ing.uchile.cl}
• 关键词：Spatial prediction ; Vector random field ; Multivariate geostatistics ; Linear coregionalization model ; Standardized ordinary cokriging
• 刊名：Computers and Geosciences
• 出版年：2012
• 出版时间：January 2012
• 年：2012
• 卷：38
• 期：1
• 页码：136-144
• 全文大小：891 K

文摘

Traditional approaches to predict a second-order stationary vector random field include simple and ordinary cokriging, depending on whether or not the mean values of the vector components are assumed to be known. This paper explores a variant of cokriging, in which the mean values of the vector components are related by linear combinations with known coefficients. Equations for the cokriging predictor and for the variance¨Ccovariance matrix of prediction errors are presented. A set of computer programs is provided and illustrated with applications to mineral resources evaluation, in which the proposed cokriging variant compares favorably with traditional approaches.