Karel Jedlička, Václav Čada
University of West Bohemia, Faculty of applied sciences, Department of mathematics, Geomatics section
Univerzitní 22, Pilsen, 306 14, Czech Republic
tel.: +420 377 632 680
e-mail: smrcek@kma.zcu.cz, cada@kma.zcu.cz
Generalization was and still is a core of creation of any map (or nowadays a geospatial database), because a process of picking what to map or not to map is a generalization process, even if normally it's called mapping or survey. All other generalization techniques are focused to create a less detailed model than a source model of reality is. Nowadays these techniques have partially (or sometimes fully) developed algorithms and they are implemented in some geographic or cartographic software systems. An idea of this article is to present one fundamental spatial data model and a set of generalization tools as a source from which is possible to derive any other less detailed model (geospatial or cartographical). Of course that it is not possible to have that methodology and technology now, so there is a discussion in the article, if it is possible to see that model in 2025 or yes ;-).