Point Data Visualization

Point Data Visualization is a cartographic representation technique that uses symbol size to encode the magnitude of quantitative values at specific geographic locations, distinguished by its reliance on proportional symbols to visually convey point-based data distributions.

29

Publications

994

Citations

109

Authors

48

Institutions

Publications per year

2017–2026

11

Authors

109

  1. ÅP
    Åsa Persson

    Stockholm Environment Institute, Sweden

    2 publications · 154 citations

    2

    h-index

  2. SA
    Simon Ahlberg

    Swedish Defence Research Agency, Sweden

    2 publications · 154 citations

    2

    h-index

  3. MK
    Martin Knura

    HafenCity University Hamburg, Germany

    1 publications · 13 citations

    2

    h-index

  4. JA
    Jean‐Noël Argenson

    Hôpital Sainte-Marguerite, France

    1 publications · 10 citations

    1

    h-index

  5. YL
    Yuhua Liu

    Zhejiang University of Finance and Economics, China

    1 publications · 12 citations

    1

    h-index

1–5 of 109

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 26 citations

    2

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Methods in Ecology and Evolution

    1 publications · 21 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 13 citations

    1

    h-index

1–5