For the prediction model: Z(s) = U(s) + e(s), in which Z denotes the predicted value, U denotes the global trend, e denotes random, autocorrelated error(autocorrelation + nugget), s indicates the location or point; if the trend U(s) is a simple constant, that is, = U for all locations, this model is called ordinary kriging.
