Glyph-based Uncertainty Encoding

Glyph-Based Uncertainty Encoding is a visualization technique that uses geometric symbols or glyphs as the primary graphical elements to encode multidimensional spatial uncertainty by systematically varying glyph properties such as shape, size, orientation, or color in relation to uncertainty attributes.

4

Publications

187

Citations

11

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

11

  1. AC
    Andrej Cedilnik

    University of Maryland, Baltimore County, United States

    2 publications · 133 citations

    2

    h-index

  2. PR
    Penny Rheingans

    University of Maryland, Baltimore County, United States

    2 publications · 133 citations

    2

    h-index

  3. GH
    Grace Hansen

    Cognitive Neuroimaging Lab, France

    1 publications · 40 citations

    1

    h-index

  4. HK
    Heidi Kramer

    University of Utah, United States

    1 publications · 40 citations

    1

    h-index

  5. SH
    Sarah H. Creem-Regehr

    University of Utah, United States

    1 publications · 40 citations

    1

    h-index

1–5 of 11

Venues

  1. Computer Graphics Forum

    1 publications · 14 citations

    1

    h-index

  2. IEEE Visualization

    Conference · 1 publications · 78 citations

    1

    h-index

  3. Journal of Experimental Psychology Applied

    1 publications · 40 citations

    1

    h-index

1–3