• DocumentCode
    2218028
  • Title

    Thin Client Visualization

  • Author

    Eick, Stephen G. ; Eick, M. Andrew ; Fugitt, Jesse ; Horst, Brian ; Khailo, Maxim ; Lankenau, Russell A.

  • Author_Institution
    SSS Res., Inc., Naperville
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 1 2007
  • Firstpage
    51
  • Lastpage
    58
  • Abstract
    We have developed a Web 2.0 thin client visualization framework called GeoBoosttrade. Our framework focuses on geospatial visualization and using scalable vector graphics (SVG), AJAX, RSS and GeoRSS we have built a complete thin client component set. Our component set provides a rich user experience that is completely browser based. It includes maps, standard business charts, graphs, and time-oriented components. The components are live, interactive, linked, and support real time collaboration.
  • Keywords
    Internet; Java; XML; data visualisation; geographic information systems; groupware; network computers; AJAX; RSS; Web 2.0; XML; asynchronous JavaScript; geospatial visualization; scalable vector graphics; thin client collaborative visualization framework; Application software; Collaboration; Displays; Graphics; Java; Portals; Shape; Streaming media; Visual analytics; Visualization; JavaScript; linked view visual analytics; scalable vector graphics; visualization components; web 2.0;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    978-1-4244-1659-2
  • Type

    conf

  • DOI
    10.1109/VAST.2007.4388996
  • Filename
    4388996