In models connected with values measured in discrete points, truthfulness, adequacy as well as representativeness of information are very difficult to characterize. It particularly concerns measuring of parameters in the points which spatialization of values is dependent on topographic conditions. For instance, spreading of air pollution is specially important in mountains and hills, because of very strong influence of relief. The division of the area around the station into regions of homogenous conditions containing the same type of information is proposed. Geometric basic units of the system can be aggregated in adequate areas on the grounds of their belonging to suitable regions. Each region consists of elementary fields, which are assigned to determine the type of conditions with adequate degree of risk which is the product of probabilities of information transfer. It is shown on the example of precipitation. The reliability of the model of phenomena distribution can be increased due to additional factors connected with conditions in the place of measurement of parameters. This reliability can be precisely calculated. To make these calculations, we need parameters of distributions. In database, the values of probability connected with the distance between the station and elementary fields in its surroundings, as well as the probability connected with height differences above the sea level were calculated. After geographic analyses, made on the basis of DTM and including multidimensional analyses, it turned out that the borders resulting from environmental factors of sub-regions are compatible in 85% with the borders of physiogeographic units indicated by Kondracki. The next problem to be solved in the near future, related to the issue discussed above, will be presentation of accuracy.