Zusammenfassung: The characterization of an heterogeneous geological media can be approached by means of an statistical treatment of the field data. This lets us know its spatial variability behaviour, in probability terms. The algorithms presented in this work belongs to the scope of simulation of geological heterogeneous random fields. The aim of that characterization is related with the reseach studies of nuclear waste repositories in deep geological structures. Several stochastic generation algorithms are presented, based in the geostatistical regionalized variable, fractal geometry, and spectral Fourier theories. Some of them are deeply exposed here to their understanding. As a result of the paper, some comparative schemes are showed with numerical, geostatistical and spectral analysis of the implicit autorregresive generation methods.

Zusammenfassung: Multiattribute utility theory (MAUT) and integer programming are employed to examine optimal sampling strategies for commercial invertebrate fisheries in British Columbia, Canada. Attributes considered in the study take into account various biological, economic, social, and political aspects of the fisheries. Twenty-six fishery managers, biologists, and researches from the Department of Fisheries and Oceans participated in ranking and assigning weights to each of the attributes to provide overall utility scores. Integer programming was then employed to generate optimal sampling strategies subject to various cost, personnel, are, and fishery constraints. The results clearly demonstrate the potential usefulness of MAUT analysis for developing strategies to monitor commercial invertebrate fisheries.