Visual Variable Encoding

Visual Variable Encoding is a systematic method in cartographic design that uses visual properties such as color, size, shape, and orientation to represent multivariate data attributes within thematic maps, particularly in choropleth and glyph-based visualizations, by mapping data dimensions to perceptually discernible graphical variables.

8

Publications

373

Citations

17

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

17

  1. TI
    Tobias Isenberg

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 110 citations

    1

    h-index

  2. CZ
    Caroline Ziemkiewicz

    University of North Carolina at Charlotte, United States

    1 publications · 15 citations

    1

    h-index

  3. JV
    Jean Vanderdonckt

    UCLouvain, Belgium

    1 publications · 15 citations

    1

    h-index

  4. MF
    Mi Feng

    Worcester Polytechnic Institute, United States

    1 publications · 61 citations

    1

    h-index

  5. CW
    Colin Ware

    University of New Hampshire, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 17

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 171 citations

    2

    h-index

  2. IEEE Computer Graphics and Applications

    2 publications · 46 citations

    2

    h-index

  3. Cartographic Perspectives

    1 publications · 25 citations

    1

    h-index

  4. PRISM (University of Calgary)

    Repository · 1 publications · 101 citations

    1

    h-index

1–4