Abstract
One of the most widely-used stochastic prognosis methods for estimating the reserves of mineral resources, namely the method of kriging, is considered. A modification of this method based on the assumption of local stationarity of the spatial variable is proposed. The modified kriging method, in combination with a morphological algorithm for detecting the subdomains of local stationarity is shown to be in good agreement with the a priori ideas on data structure. This makes it possible to decrease computational efforts for the forecasting procedure as compared to the standard kriging technique.
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