Estimation using spatially distributed multivariate data: An example with coal quality

A method to estimate several spatially related variables is presented. The method uses principal component analysis to produce cokriging results in a computationally efficient manner and enables a straightforward extension to more than two variables. An example is given that describes the estimation of the coal quality parameters, ash, heating value, and sulfur.