EVEVis: A multi-scale visualization system for dense evolutionary data

Robert Miller, Vadim Mozhayskiy, Llias Tagkopoulos, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Evolutionary simulations can produce datasets consisting of thousands or millions of separate entities, complete with their genealogical relationships. Biologists must examine this data to determine when and where these entities have changed, both on an individual basis and on a population-wide basis. Therefore, desirable features of a visualization system for evolutionary data are the capability of showing the status of the population at any given moment in time, good scalability, and smooth transition between high-level and low-level views. We propose a multi-scale visualization method, including a novel tree layout that both shows population status over time and can easily scale to very large populations. From this layout, the user can navigate to visualizations for moments in time or for individual entities. We demonstrate the effectiveness of the visualization on an existing evolutionary simulation called EVE: Evolution in Variable Environments.

Original languageEnglish (US)
Title of host publicationIEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings
Number of pages8
StatePublished - Dec 28 2011
Event1st IEEE Symposium on Biological Data Visualization, BioVis 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 24 2011


Other1st IEEE Symposium on Biological Data Visualization, BioVis 2011
Country/TerritoryUnited States
CityProvidence, RI


  • H.5.m [Information Interfaces and Presentation]: Miscellaneous Multi-scale visualization
  • J.3 [Computer Applications]: Life and Medical Sciences Biology and Genetics

ASJC Scopus subject areas

  • Biotechnology
  • Computer Vision and Pattern Recognition
  • Information Systems


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