Cokriging and its effect on the estimation precision


Yalcin E.

JOURNAL OF THE SOUTH AFRICAN INSTITUTE OF MINING AND METALLURGY, vol.105, no.4, pp.223-228, 2005 (SCI-Expanded) identifier

Abstract

The data set often contains one or more secondary variables. These secondary variables are usually spatially cross correlated with the primary variable. The addition of the cross-correlated information reduces the variance of the estimation error by using the cokriging method.