Interval Visualization

Interval Visualization is a visual representation technique that encodes uncertainty as intervals along a dimension of a data variable, distinguishing itself from other uncertainty visualization methods by explicitly depicting the range between minimum and maximum plausible values to convey data variability or imprecision.

10

Publications

291

Citations

25

Authors

26

Institutions

Publications per year

2017–2026

2

Authors

25

  1. LN
    L. Nancy Garrett

    Brown University, United States

    1 publications · 17 citations

    1

    h-index

  2. CY
    Chuan‐Kai Yang

    National Taiwan University of Science and Technology, Taiwan

    1 publications · 18 citations

    1

    h-index

  3. HW
    Hanming Wu

    Semiconductor Manufacturing International (China), China

    1 publications · 18 citations

    1

    h-index

  4. MB
    Markus Bögl

    TU Wien, Austria

    1 publications · 66 citations

    1

    h-index

  5. MK
    Martin Klein

    United States Census Bureau, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 25

Venues

  1. Theoretical Computer Science

    1 publications · 10 citations

    1

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 21 citations

    1

    h-index

  3. Discrete Mathematics

    1 publications · 66 citations

    1

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 1 publications · 18 citations

    1

    h-index

  5. The American Statistician

    1 publications · 19 citations

    1

    h-index

1–5