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International Journal of Geographical Information Science

Volume 24, Issue 10, 2010

Special Issue: Geospatial Visual Analytics: Focus on Time Special Issue of the ICA Commission on GeoVisualization

Abstract

Visual analytics aims to combine the strengths of human and electronic data processing. Visualisation, whereby humans and computers cooperate through graphics, is the means through which this is achieved. Seamless and sophisticated synergies are required for analysing spatio-temporal data and solving spatio-temporal problems. In modern society, spatio-temporal analysis is not solely the business of professional analysts. Many citizens need or would be interested in undertaking analysis of information in time and space. Researchers should find approaches to deal with the complexities of the current data and problems and find ways to make analytical tools accessible and usable for the broad community of potential users to support spatio-temporal thinking and contribute to solving a large range of problems.

Keywords

 

Details

  • Available online: 06 Oct 2010

Author affiliations

  • a Fraunhofer Institute IAIS - Intelligent Analysis and Information Systems Schloss Birlinghoven, Sankt-Augustin, D-53754, Germany
  • b National Centre for Geocomputation, National University of Ireland Maynooth Maynooth, Co. Kildare, Ireland
  • c Helmholtz Centre Potsdam GFZ German Research Centre For Geosciences Telegrafenberg, D-14473, Potsdam
  • d giCentre, City University London, Northampton Square, London, EC1V 0HB, UK
  • e Department of Geography, Geographic Information Visualization and Analysis Unit, University of Zurich, CH-8057, Zurich, Switzerland
  • f National Center for Visual Analytics, ITN Linköping University, S-60174, Norrköping, Sweden
  • g Department of Geoinformation Processing, Faculty of Geoinformation Science and Earth Observation, University of Twente, PO Box 217, 7500, AE Enschede - the Netherlands
  • h University of Rostock, Albert-Einstein-Strasse 21, D-18059, Rostock, Germany

Journal news

  • 2010 Impact Factor: 1.489; Five-Year Impact Factor: 2.162
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