  In this paper, we use the concept of excursion sets for the extrapolation of
stationary random fields. Doing so, we define excursion sets for the field and
its linear predictor, and then minimize the expected volume of the symmetric
difference of these sets under the condition that the univariate distributions
of the predictor and of the field itself coincide. We illustrate the new
approach on Gaussian random fields.
