Range Visualization

Range Visualization is a visualization method that encodes the variability or uncertainty in data by depicting the minimum and maximum extents of possible values within a given domain, distinguishing it from other uncertainty visualization techniques through its focus on bounding intervals rather than probabilistic distributions or ensemble representations.

4

Publications

145

Citations

16

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

16

  1. BL
    Bongshin Lee

    Microsoft (United States), United States

    1 publications · 59 citations

    1

    h-index

  2. PC
    Po-Wen Chiu

    University at Buffalo, State University of New York, United States

    1 publications · 25 citations

    1

    h-index

  3. HF
    Henry Fuchs

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

  4. LN
    Lars Nyland

    University of North Carolina at Chapel Hill, United States

    1 publications · 29 citations

    1

    h-index

  5. PI
    Petra Isenberg

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 59 citations

    1

    h-index

1–5 of 16

Venues

  1. Technometrics

    1 publications · 32 citations

    1

    h-index

  2. Structural and Multidisciplinary Optimization

    1 publications · 25 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 59 citations

    1

    h-index

1–3