Summary

The aim of this diploma thesis was to verify the possibility of using similarity for creating or analyzing maps. The data for testing were gained from eight source grids of cadastral registers´maps.

These data were indexed according to one particular characteristics. Afterwards a definition of similarity was applied, always taking ten adjacent items into consideration. In tabular part, the accuracy of identifying similarity was tested on the basis of knowledge of the data. Templates with the best results were chosen. Out of all 104 templates 13 best were chosen. This global set was tested again on more data samples. The results were shown in both a graph and a chart describing results (scores) of registered areas. The overall result could be used for finding global key to automatic digitalization, e.g. defining points of sites etc.

With use of the chart of scores the use of similarity may be evaluated. The higher the score, the more universal the registered area is, and vice versa - the lower the score, the more different is the registered area. It means that the areas with lower scores contains more “distinctive” data, i.e. more information being different from the rest, while maps with higher scores are more “common”, i.e. containing information which appears in other maps as well.

A poster, a website and a CD is available with this diploma thesis.