Model Of Intellectual Visualization Of Geoinformation Service

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.

[1]  Robert Weibel,et al.  Modelling the Overall Process of Generalisation , 2007 .

[2]  Lotfi A. Zadeh,et al.  Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic , 1997, Fuzzy Sets Syst..

[3]  David Pullar,et al.  Landscape analysis and visualisation: spatial models for natural resource management and planning , 2008 .

[4]  A. M. Berlyant “NOT FOR US TO FORESEE…,” OR ABOUT FUTURE MAPS , 1998 .

[5]  Michael Batty,et al.  A Generic Framework for Computational Spatial Modelling , 2012 .

[6]  Jeffrey S. Torguson,et al.  Cartography , 2019, Dictionary of Geotourism.

[7]  M. Goodchild,et al.  Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice , 2012 .

[8]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .

[9]  Schuyler Erle,et al.  Mapping hacks : tips & tools for electronic cartography , 2005 .

[10]  Max J. Egenhofer,et al.  Toward the semantic geospatial web , 2002, GIS '02.

[11]  David Pullar,et al.  Understanding landscapes through knowledge management frameworks, spatial models, decision support tools and visualisation , 2008 .

[12]  Milan Konečný,et al.  Proposal for a Standard in Cartographic Visualization of Natural Risks and Disasters , 2006 .

[13]  Andrew Crooks,et al.  Agent-based Models of Geographical Systems , 2012 .

[14]  Georg Gartner,et al.  Multimedia Cartography , 2006, Springer Berlin Heidelberg.

[15]  Michael F. Goodchild,et al.  A Geospatial Cyberinfrastructure for Urban Economic Analysis and Spatial Decision-Making , 2013, ISPRS Int. J. Geo Inf..

[16]  Технология Springer Science+Business Media , 2013 .