The ability of the analog computer to stimulate physical phenomena is used in conjunction with a resistance paper model of the Walnut Gulch watershed in Arizona to plot constant precipitation maps from data obtained from recorded rainfall. Voltages which are proportional to rainfall at a specific raingage, located at scaled points of the resistance paper model, set up an electric field on the resistive sheet which is detected and processed by the computer. The detected potential is compared to a reference potential, or "precipitation value", and the necessary analog networks allow plotting of the equipotential line which is directly analogous to an isohyetal line.

This thesis engages various methods of calculation of the spatial distribution of precipitation and the evaluation of differences in totals of rainfall in a chosen catchment. The aim of this work was to choose suitable methods for the calculation of areal rainfall and subsequently to create those methods. Most methods were developed in the GIS program. The next objective was to explore differences in monthly precipitation from hydrological years 2006 and 2007 calculated in the catchment by chosen methods. Chosen methods for the calculation of the spatial distribution of precipitation in the catchment were: arithmetic mean, Thiessen polygons, isohyetal method and inverse distance weighting method. (IDW). As a suitable catchment was selected the catchment of the Kopaninský stream where relatively dense rainfall measurement network is installed. During the solution of this thesis the area of interest had to be extended by the area between the used rain gauges which was delimited in the GIS program. The reason for an enlargement was a fact that a decomposition of rain gauges in the catchment of the Kopaninský stream did not permit the creation of isohyetal lines in this whole catchment. During the calculation and the comparison of results of individual methods was found that results of used methods were surprisingly nearly the same. It was also stated that not even sufficient dense rain gauges network does not guarantee 100% exactness for calculating the amount of the precipitation in the selected area because of their extraordinary variability.