首页> 外文学位 >Pedvis: A structured, space-efficient technique for pedigree visualization.
【24h】

Pedvis: A structured, space-efficient technique for pedigree visualization.

机译:Pedvis:一种结构化,节省空间的技术,用于谱系可视化。

获取原文
获取原文并翻译 | 示例

摘要

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 denser, 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.
机译:公共家谱数据库越来越多地包含当前人口祖先的历史数据和记录。随着越来越多的可用信息用于将个人链接到其祖先,生成的树变得更深,更密,这证明需要使用有组织的,节省空间的布局来显示数据。现有的布局通常一次只能显示一小部分数据。结果,当浏览数据时,很容易迷失方向,或者看不到整个树的结构。相反,为未知祖先留出空间可以使人们更好地理解树的结构,但是留出空间变得昂贵,并且一次只能显示更少的世代。在这项工作中,我们建议在族谱软件中使用基于H树的布局来显示祖先树。我们将证明,这种布局增加了可显示代的数量,提供了排列整齐,对称,直观和有组织的分形结构,提高了用户理解和浏览数据的能力,并说明了显示所需的可视化要求这样的树。最后,用户研究结果表明用户接受新布局的潜力。

著录项

  • 作者

    Tuttle, Claurissa.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2011
  • 页码 54 p.
  • 总页数 54
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号