Spatiotemporal Uncertainty Visualization

Spatiotempomporal Uncertainty Visualization is a visualization approach that integrates spatial and temporal dimensions to represent the uncertainty inherent in dynamic geospatial phenomena, distinguishing itself from static or purely temporal uncertainty visualization methods by simultaneously encoding location, time, and associated uncertainty measures.

2

Publications

76

Citations

4

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

4

  1. EP
    Edzer Pebesma

    University of Münster, Germany

    1 publications · 63 citations

    1

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  2. DB
    David Briggs

    Imperial College London, United Kingdom

    1 publications · 63 citations

    1

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  3. KD
    Kor de Jong

    Utrecht University, Netherlands

    1 publications · 63 citations

    1

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  4. AB
    Adrian Bowman

    University of Glasgow, United Kingdom

    1 publications · 13 citations

    1

    h-index

  5. JM
    Jadrian Miles

    Brown University, United States

    1 publications · 10 citations

    0

    h-index

1–5 of 4

Venues

  1. 1

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  2. 1

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  3. Earth Science Informatics

    1 publications · 10 citations

  4. Computer Graphics Forum

    1 publications · 14 citations

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