• DocumentCode
    1364738
  • Title

    PedVis: A Structured, Space-Efficient Technique for Pedigree Visualization

  • Author

    Tuttle, Claurissa ; Nonato, Luis Gustavo ; Silva, Cláudio T.

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    16
  • Issue
    6
  • fYear
    2010
  • Firstpage
    1063
  • Lastpage
    1072
  • Abstract
    Public genealogical databases are becoming increasingly populated with historical data and records of the current population´s ancestors. As this increasing amount of available information is used to link individuals to their ancestors, the resulting trees become deeper and more dense, which justifies the need for using organized, space-efficient layouts to display the data. Existing layouts are often only able to show a small subset of the data at a time. As a result, it is easy to become lost when navigating through the data or to lose sight of the overall tree structure. On the contrary, leaving space for unknown ancestors allows one to better understand the tree´s structure, but leaving this space becomes expensive and allows fewer generations to be displayed at a time. In this work, we propose that the H-tree based layout be used in genealogical software to display ancestral trees. We will show that this layout presents an increase in the number of displayable generations, provides a nicely arranged, symmetrical, intuitive and organized fractal structure, increases the user´s ability to understand and navigate through the data, and accounts for the visualization requirements necessary for displaying such trees. Finally, user-study results indicate potential for user acceptance of the new layout.
  • Keywords
    data visualisation; genetics; history; tree data structures; H-tree based layout; PedVis; ancestral tree; data navigation; genealogical software; historical data; organized fractal structure; pedigree visualization; population ancestor; public genealogical database; space-efficient layout; tree structure; user acceptance; visualization requirement; Binary trees; Context; Data visualization; Layout; Navigation; Shape; Software; Genealogy; H-Tree; Pedigree;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2010.185
  • Filename
    5613444