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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Model Of Intellectual Visualization Of Geoinformation Service

Authors:

Stanislav L. Belyakov, Alexander V. Bozhenyuk, Marina L. Belykova, Igor N. Rozenberg

Published in:

 

(2014).ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014

 

ISBN: 978-0-9564944-8-1

 

28th European Conference on Modelling and Simulation,

Brescia, Italy, May 27th – 30th, 2014

Citation format:

Stanislav L. Belyakov, Alexander V. Bozhenyuk, Marina L. Belykova, Igor N. Rozenberg (2014). Model Of Intellectual Visualization Of Geoinformation Service, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani  European Council for Modeling and Simulation. doi:10.7148/2014-0326

DOI:

http://dx.doi.org/10.7148/2014-0326

Abstract:

In this paper we investigate a model of intellectual visualization of cartographic images. The selection of customer of geoinformation service most informative materials during the session is modeled. The use of a customer of geoinformation service of fuzzy function usefulness is a feature of the model. Model of selection of informative cartographical objects in the workspace of analysis is described. Estimation of level of usefulness uses the knowledge about the growth and reducing usefulness, witch depending on the number of objects in the cartographic image. The usefulness function is presented in a granular form. Cartographic description of the utility function is considered. Image defects due to mapping of partially defined situations are analyzed. These situations appear on the map due to the imperfections of algorithms of automatic recognition of real world objects. Visual and operational defects are marked. The model of the map visualization with defects of displaying of uncertain situations is built. The proposed approach will reduce the risk of making wrong decisions due to the incomplete and irrelevant maps of geographic information systems.

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