During the last decade, the development of computational technique has influenced wider implementation of numerical methods in different software applications, which are oriented to processing, presentation, and analysis of spatial data. This is particularly the case for geostatistical methods, which were developed for analysis of the data, which include spatial components. Those methods provide analytical processing and description of spatial continuity, which is an important characteristic for numerous natural phenomena. Implementation of classical statistical methods does not allow the perception of spatial distribution of natural phenomena. The development GIS (Geographical Information Systems) applications, especially geostatistical modules, enabled a lot of users dealing with spatial modeling and analysis to apply them in their work.