• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A survey and task-based quality assessment of static 2D colormaps
 
  • Details
  • Full
Options
2015
Conference Paper
Title

A survey and task-based quality assessment of static 2D colormaps

Abstract
Color is one of the most important visual variables since it can be combined with any other visual mapping to encode information without using additional space on the display. Encoding one or two dimensions with color is widely explored and discussed in the field. Also mapping multi-dimensional data to color is applied in a vast number of applications, either to indicate similar, or to discriminate between different elements or (multi-dimensional) structures on the screen. A variety of 2D colormaps exists in literature, covering a large variance with respect to different perceptual aspects. Many of the colormaps have a different perspective on the underlying data structure as a consequence of the various analysis tasks that exist for multivariate data. Thus, a large design space for 2D colormaps exists which makes the development and use of 2D colormaps cumbersome. According to our literature research, 2D colormaps have not been subject of in-depth quality assessment. Therefore, we present a survey of static 2D colormaps as applied for information visualization and related fields. In addition, we map seven devised quality assessment measures for 2D colormaps to seven relevant tasks for multivariate data analysis. Finally, we present the quality assessment results of the 2D colormaps with respect to the seven analysis tasks, and contribute guidelines about which colormaps to select or create for each analysis task.
Author(s)
Bernard, Jürgen
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Steiger, Martin
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mittelstädt, Sebastian
Univ. Konstanz
Thum, Simon
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keim, Daniel
Univ. of Konstanz
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Visualization and Data Analysis 2015  
Conference
Conference on Visualization and Data Analysis (VDA) 2015  
Annual Symposium Electronic Imaging (EI) 2015  
DOI
10.1117/12.2079841
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • data comparison

  • evaluation

  • information visualization

  • Visual analytics

  • visual variables

  • data projection

  • Color analysis

  • color perception

  • color space

  • color models

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024