Dynamic Geographic Information Visualization

Dynamic Geographic Information Visualization is a type of temporal geographic visualization that represents the evolution of spatial phenomena over time through animated or interactive visual displays, distinguished by its explicit integration of time as a dynamic variable to reveal patterns, processes, and changes in geographic data across temporal sequences.

6

Publications

213

Citations

23

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

23

  1. GA
    Gennady Andrienko

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    1 publications · 21 citations

    1

    h-index

  2. JR
    Jing Ran

    Chinese Academy of Sciences, China

    1 publications · 26 citations

    1

    h-index

  3. JS
    Jürgen Symanzik

    Utah State University, United States

    1 publications · 67 citations

    1

    h-index

  4. JP
    Jan Pallon

    Lund University, Sweden

    1 publications · 14 citations

    1

    h-index

  5. PG
    Peter Gatalsky

    Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany

    1 publications · 21 citations

    1

    h-index

1–5 of 23

Venues

  1. Computers & Geosciences

    CAGEO · 1 publications · 67 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Computational Statistics

    1 publications · 21 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 60 citations

    1

    h-index

1–5