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.
02.60.Ed Interpolation; curve fitting
91.60.-x Physical properties of rocks and minerals
Faculty of Physics, Moscow State University, Moscow, 119991, Russia
Science News of the Faculty of Physics, Lomonosov Moscow State University
This new information publication, which is intended to convey to the staff, students and graduate students, faculty colleagues and partners of the main achievements of scientists and scientific information on the events in the life of university physicists.