DOI: 10.5593/SGEM2014/B23/S11.135


A. Vondrakova, J. Caha
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-12-4 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 3, 1069-1076 pp

When processing spatial information it is very important to maintain the maximum possible accuracy of positional and attribute characteristics. The level of accuracy is determined by the required details in the digital model processing or in the resulting cartographic visualization. Inaccurate information perceived from digital cartographic representation may not be caused due to incorrect way of interpreting, but are often already caused by some inaccuracy in the data collection (e.g. precision measurements of position) and their subsequent processing (e.g. different ways of data interpolation). When such processed information represents a basis for decision-making processes, the quality of subsequent decisions is determined by the quality and accuracy of user information perception. In many areas of decision making there are used geovisualisations (cartographic visualizations), which are interpreted by experts on various topics, not only by cartographers or data specialist. Such cases include, for example, administration, crisis management and many other fields of human activity. In surfaces visualizations there are usually used the standard expression cartographic methods, such as contour lines, a method of colour hypsometry or pseudo-3D previews. The visualized surface is mostly presented as precise and standard representation do not present any vagueness, so the user does not know the accuracy in which information can be count and whether this degree of inaccuracy is constant or variable in the study area. The solution of this disadvantageous situation is the visualization of fuzzy surfaces, which includes not only information about the altitude, but also the uncertainty. The paper describes the visualization of fuzzy data in order to make the most efficient transfer of information from the map to the user. There are presented the results of research focused on the user aspects of fuzzy visualization of surfaces using the latest approaches in the cartography.

Keywords: fuzzy surface, cartographic visualization, user issues

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