Multivariate Geospatial Visualization

Multivariate Geospatial Visualization is a type of geospatial visualization that integrates and graphically represents multiple interrelated attributes across geographic space, distinguished by its capacity to simultaneously encode several variables within a single spatial framework to support complex pattern recognition and analytical reasoning.

18

Publications

690

Citations

50

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

50

  1. JD
    Jason Dykes

    City, University of London, United Kingdom

    3 publications · 165 citations

    3

    h-index

  2. RM
    Ross Maciejewski

    Arizona State University, United States

    2 publications · 58 citations

    2

    h-index

  3. MV
    Michael VanDaniker

    University of Maryland, College Park, United States

    2 publications · 52 citations

    2

    h-index

  4. AS
    Aidan Slingsby

    City, University of London, United Kingdom

    2 publications · 104 citations

    2

    h-index

  5. DG
    Diansheng Guo

    University of South Carolina, United States

    2 publications · 184 citations

    2

    h-index

1–5 of 50

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 215 citations

    5

    h-index

  2. Cartography and Geographic Information Science

    3 publications · 191 citations

    3

    h-index

  3. The Cartographic Journal

    1 publications · 22 citations

    1

    h-index

  4. The Professional Geographer

    1 publications · 45 citations

    1

    h-index

  5. 1

    h-index

1–5