Uncertainty Glyphs

Uncertainty Glyphs is a visualization construct that encodes uncertain data through graphical symbols whose visual variables (e.g., size, shape, opacity, or orientation) systematically represent statistical properties of uncertainty, thereby extending standard glyphs to convey probabilistic or interval-based variability in multivariate data.

8

Publications

463

Citations

21

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

21

  1. CM
    Craig M. Wittenbrink

    University of California, Santa Cruz, United States

    2 publications · 97 citations

    2

    h-index

  2. PR
    Penny Rheingans

    University of Maryland, Baltimore County, United States

    2 publications · 133 citations

    2

    h-index

  3. AP
    Alex Pang

    University of California, Santa Cruz, United States

    2 publications · 97 citations

    2

    h-index

  4. AC
    Andrej Cedilnik

    University of Maryland, Baltimore County, United States

    2 publications · 133 citations

    2

    h-index

  5. SK
    Suresh K. Lodha

    University of California, Santa Cruz, United States

    2 publications · 97 citations

    2

    h-index

1–5 of 21

Venues

  1. IEEE Visualization

    Conference · 1 publications · 78 citations

    1

    h-index

  2. 1

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  3. Journal of Experimental Psychology Applied

    1 publications · 40 citations

    1

    h-index

  4. 1

    h-index

  5. Computer Graphics Forum

    1 publications · 14 citations

    1

    h-index

1–5