Uncertainty Visualization In Streamlines

Uncertainty Visualization in Streamlines is a visualization technique that specifically represents the uncertainty associated with streamline data in vector fields, distinguishing itself by encoding probabilistic or error information directly into the geometric or visual attributes of streamlines to enhance the interpretability of flow features under uncertainty.

2

Publications

52

Citations

11

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

11

  1. DK
    Dietrich Kammer

    Technische Universität Dresden, Germany

    1 publications · 16 citations

    1

    h-index

  2. ZV
    Zana Vosough

    Technische Universität Dresden, Germany

    1 publications · 16 citations

    1

    h-index

  3. MK
    Mandy Keck

    Technische Universität Dresden, Germany

    1 publications · 16 citations

    1

    h-index

  4. JA
    Joshua A. Levine

    University of Utah, United States

    1 publications · 36 citations

    1

    h-index

  5. PB
    Peer‐Timo Bremer

    Lawrence Livermore National Laboratory, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 11

Venues

  1. Journal of Computer Languages

    1 publications · 16 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 36 citations

    1

    h-index

1–2