Artículo de revista
Cokriging random fields with means related by known linear combinations
Fecha
2012-01Registro en:
COMPUTERS & GEOSCIENCES Volume: 38 Issue: 1 Pages: 136-144 Published: JAN 2012
DOI: 10.1016/j.cageo.2011.06.001
Autor
Emery, Xavier
Institución
Resumen
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-covariance 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.