Epistemic Uncertainty Visualization

Epistemic Uncertainty Visualization is a type of probabilistic visualization that specifically represents uncertainty arising from incomplete knowledge or model limitations, as opposed to inherent randomness, by visually encoding the confidence or credibility of inferred patterns based on available data and assumptions.

2

Publications

422

Citations

10

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

10

  1. MA
    Mark A. Burgman

    The University of Melbourne, Australia

    1 publications · 275 citations

    1

    h-index

  2. GL
    Giovanni Lanzano

    Istituto Nazionale di Geofisica e Vulcanologia, Italy

    1 publications · 147 citations

    1

    h-index

  3. FM
    F. Martinelli

    Istituto Nazionale di Geofisica e Vulcanologia, Italy

    1 publications · 147 citations

    1

    h-index

  4. HM
    Helen M. Regan

    University of California, Riverside, United States

    1 publications · 275 citations

    1

    h-index

  5. BP
    Bruno Pace

    University of Chieti-Pescara, Italy

    1 publications · 147 citations

    1

    h-index

1–5 of 10

Venues

  1. Ecological Modelling

    1 publications · 275 citations

    1

    h-index

  2. Institutional Research Information System (University of Udine)

    Repository · 1 publications · 147 citations

    1

    h-index

  3. Natural Hazards Review

    1 publications · 12 citations

1–3