• DocumentCode
    125404
  • Title

    Boundary Labeling Methods for Dynamic Focus Regions

  • Author

    Heinsohn, Niklas ; Gerasch, Andreas ; Kaufmann, Michael

  • Author_Institution
    Dept. for Comput. Sci., Univ. of Tubingen, Tubingen, Germany
  • fYear
    2014
  • fDate
    4-7 March 2014
  • Firstpage
    243
  • Lastpage
    247
  • Abstract
    The display of data related to graphical objects on a map is a well studied problem in cartography and several approaches have been published. Adapting the idea of boundary labeling using a focus region, we face the problem of emphasizing additional information and labels for objects within a focus region even when the region might be moving. We propose four different approaches that support effective solutions in various ways, and discuss advantages and drawbacks. Our algorithms regard the dynamic nature of the focus region to place the labels and preserve the mental map of the analyzed drawing. We demonstrate our methods by applying them to biological networks.
  • Keywords
    biology computing; biological networks; boundary labeling methods; cartography; dynamic focus regions; graphical objects; mental map; Biology; Data visualization; Force; Gaussian distribution; Heuristic algorithms; Labeling; Visualization; Bioinformatics Visualization; Focus + Context Techniques; Visual Knowledge Discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2014 IEEE Pacific
  • Conference_Location
    Yokohama
  • Type

    conf

  • DOI
    10.1109/PacificVis.2014.20
  • Filename
    6787174