Mathematical Methods in Geoinformatics

This paper discusses current issues of applying new mathematical methods for clustering, which is necessary in modeling and visualization of data in geographic information systems. For this purpose, it is proposed to use the methods of traditional General topology and fuzzy sets. Real phenomena are described by many interrelated attributes. The ways of such interaction are unpredictable, so there is a need to apply the concept of fuzziness to the received information in solving problems of classification of geoinformation objects, in particular, aerospace images.