• DocumentCode
    1269286
  • Title

    Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

  • Author

    Elmqvist, Niklas ; Fekete, Jean-Daniel

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    16
  • Issue
    3
  • fYear
    2010
  • Firstpage
    439
  • Lastpage
    454
  • Abstract
    We present a model for building, visualizing, and interacting with multiscale representations of information visualization techniques using hierarchical aggregation. The motivation for this work is to make visual representations more visually scalable and less cluttered. The model allows for augmenting existing techniques with multiscale functionality, as well as for designing new visualization and interaction techniques that conform to this new class of visual representations. We give some examples of how to use the model for standard information visualization techniques such as scatterplots, parallel coordinates, and node-link diagrams, and discuss existing techniques that are based on hierarchical aggregation. This yields a set of design guidelines for aggregated visualizations. We also present a basic vocabulary of interaction techniques suitable for navigating these multiscale visualizations.
  • Keywords
    data visualisation; aggregated visualizations; design guidelines; hierarchical aggregation for; information visualization; multiscale functionality; multiscale visualizations; node-link diagrams; visual representations; Aggregation; clustering; clutter reduction; massive data sets; visual analytics.; visual exploration; Algorithms; Computer Graphics; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Theoretical; Software; Software Design; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2009.84
  • Filename
    5184827