Literature DB >> 20975144

PedVis: a structured, space-efficient technique for pedigree visualization.

Claurissa Tuttle1, Luis Gustavo Nonato, Cláudio T Silva.   

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.

Year:  2010        PMID: 20975144     DOI: 10.1109/TVCG.2010.185

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  Lineage: Visualizing Multivariate Clinical Data in Genealogy Graphs.

Authors:  Carolina Nobre; Nils Gehlenborg; Hilary Coon; Alexander Lex
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-03-06       Impact factor: 4.579

2.  Helium: visualization of large scale plant pedigrees.

Authors:  Paul D Shaw; Martin Graham; Jessie Kennedy; Iain Milne; David F Marshall
Journal:  BMC Bioinformatics       Date:  2014-08-01       Impact factor: 3.169

3.  Contact Trees: Network Visualization beyond Nodes and Edges.

Authors:  Arnaud Sallaberry; Yang-chih Fu; Hwai-Chung Ho; Kwan-Liu Ma
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

4.  VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees.

Authors:  Trevor Paterson; Martin Graham; Jessie Kennedy; Andy Law
Journal:  BMC Bioinformatics       Date:  2012-05-18       Impact factor: 3.169

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.