• DocumentCode
    2769362
  • Title

    VioNeS - Visual Support for the Analysis of the Next Sub-volume Method

  • Author

    Unger, Andrea ; Gutzeit, Enrico ; Jeschke, Matthias ; Schumann, Heidrun

  • Author_Institution
    Univ. of Rostock, Rostock, Germany
  • fYear
    2009
  • fDate
    15-17 July 2009
  • Firstpage
    10
  • Lastpage
    17
  • Abstract
    Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a significant role in data analysis. In this paper, we focus on the visualization of simulation output from the next sub-volume method, a spatial simulation algorithm. In addition to the spatial context of the simulation output, its heterogeneous data types, multiple variables, and the temporal context make high demands on the visualization. To cope with these challenging characteristics, we systematically explore possible visualization concepts with respect to these characteristics. From these findings, we derive our specific solution to visualize the data from the next sub-volume method, using a framework of multiple coordinated views that emphasize the spatial context of the data. Combining these views with a highly interactive user interface, the user is able to adapt the visualization to his current analysis goals and explore the data in its complexity.
  • Keywords
    biology computing; data analysis; data visualisation; digital simulation; user interfaces; VioNeS; cellular processes; computational simulation; data analysis; data vizualisation; interactive user interface; spatial simulation algorithm; subvolume method; Analytical models; Computational modeling; Context modeling; Data analysis; Data visualization; Information analysis; Laboratories; Proteins; Stochastic processes; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2009 13th International Conference
  • Conference_Location
    Barcelona
  • ISSN
    1550-6037
  • Print_ISBN
    978-0-7695-3733-7
  • Type

    conf

  • DOI
    10.1109/IV.2009.18
  • Filename
    5190814