Spatiotemporal Pattern Visualization

Spatiotemporal Pattern Visualization is a visualization approach that specifically represents the dynamic spatial configurations and temporal evolutions of patterns arising from the interaction of geographic phenomena over space and time.

42

Publications

2K

Citations

163

Authors

87

Institutions

Publications per year

2017–2026

12

Variants

Spatio-temporal Pattern Visualization

Authors

163

  1. DA
    Daniel A. Keim

    University of Konstanz, Germany

    3 publications · 110 citations

    3

    h-index

  2. NA
    Natalia Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    2 publications · 514 citations

    2

    h-index

  3. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    2 publications · 514 citations

    2

    h-index

  4. YW
    Yingcai Wu

    Zhejiang University, China

    2 publications · 133 citations

    2

    h-index

  5. DD
    Dazhen Deng

    Zhejiang University, China

    2 publications · 133 citations

    2

    h-index

1–5 of 163

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 323 citations

    6

    h-index

  2. 3

    h-index

  3. 2

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  4. 2

    h-index

  5. Nature Neuroscience

    1 publications · 152 citations

    1

    h-index

1–5