Variability Visualization

Variability Visualization is a method in the domain of uncertainty visualization that specifically represents the degree and structure of variation across ensembles, simulations, or repeated measurements, distinguishing itself from other uncertainty visualization approaches by emphasizing the spatial, temporal, or statistical patterns of fluctuation rather than probabilistic distributions, error bounds, or data confidence.

16

Publications

730

Citations

44

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

44

  1. RW
    Rüdiger Westermann

    Technical University of Munich, Germany

    2 publications · 50 citations

    2

    h-index

  2. TP
    Tobias Pfaffelmoser

    Technical University of Munich, Germany

    2 publications · 50 citations

    2

    h-index

  3. GB
    Goetz Botterweck

    University of Limerick, Ireland

    1 publications · 29 citations

    1

    h-index

  4. SG
    Subhadip Ghosh

    National Institute of Science Education and Research, India

    1 publications · 11 citations

    1

    h-index

  5. AS
    Albrecht Schmidt

    University of Stuttgart, Germany

    1 publications · 37 citations

    1

    h-index

1–5 of 44

Venues

  1. Mathematical Geology

    1 publications · 129 citations

    1

    h-index

  2. Eurographics

    Repository · 1 publications · 42 citations

    1

    h-index

  3. Journal of Statistics Education

    JSE · 1 publications · 39 citations

    1

    h-index

  4. Memory & Cognition

    1 publications · 94 citations

    1

    h-index

  5. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 186 citations

    1

    h-index

1–5