This thesis deals with different aspects
of spatial interpolation and prediction of random fields. In the
case of Gaussian random fields, best linear predictors and
conditional distributions are well-known, provided that the mean
and covariance structure of the random field are given. For
parametric estimation of the covariance function from data, we
consider the flexible class of Whittle-Mat
