Comparison techniques utilized in spatial 3D and 4D data visualizations: A survey and future directions

Kyungyoon Kim, John V Carlis, Daniel F Keefe

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

A variety of visualization techniques can be utilized to compare multiple Spatial 3D or time-varying Spatial 3D data instances (e.g., comparing pre- versus post-treatment volumetric medical images). However, despite the fact that comparative visualization is frequently needed – scientists, engineers, and even humanists must routinely compare such data – visualization users and practitioners suffer from a lack of adequate Spatial 3D comparative visualization tools and guidelines. Here we survey the field and present a taxonomy for classifying existing and new comparison visualization techniques for such data into four fundamental approaches: Juxtaposition, Superimposition, Interchangeable, and Explicit Encoding. The results clarify the key design decisions and tradeoffs that designers must make to create an effective comparative Spatial 3D data visualization and suggest the potential of emerging hybrid approaches, ones creatively combining aspects of the four fundamental approaches.

Original languageEnglish (US)
Pages (from-to)138-147
Number of pages10
JournalComputers and Graphics (Pergamon)
Volume67
DOIs
StatePublished - Oct 2017

Bibliographical note

Funding Information:
This work was supported in part by the National Science Foundation (IIS-1054783).

Publisher Copyright:
© 2017

Keywords

  • Comparative visualization
  • Scientific visualization
  • Time-varying

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