Bivariate Choropleth Maps

Bivariate Choropleth Map is a cartographic visualization technique that belongs to the class of thematic maps and specifically integrates two spatially distributed variables within a single choropleth display by means of color blending or overlay, thereby enabling the simultaneous interpretation of their joint patterns and spatial relationships.

22

Publications

688

Citations

88

Authors

48

Institutions

Publications per year

2017–2026

15

Variants

Bivariate Choropleth Map

Authors

88

  1. LW
    Laurence W. Carstensen

    Virginia Tech, United States

    3 publications · 58 citations

    3

    h-index

  2. WE
    Whitney E. Zahnd

    University of South Carolina, United States

    2 publications · 47 citations

    2

    h-index

  3. BL
    Bernardo Lanza Queiroz

    Universidade Federal de Minas Gerais, Brazil

    2 publications · 28 citations

    2

    h-index

  4. ES
    Elisabeth S. Nelson

    University of North Carolina at Greensboro, United States

    1 publications · 13 citations

    1

    h-index

  5. MT
    Mai T. Pho

    University of Chicago, United States

    1 publications · 25 citations

    1

    h-index

1–5 of 88

Venues

  1. 4

    h-index

  2. Environment and Planning A Economy and Space

    2 publications · 36 citations

    2

    h-index

  3. Preventing Chronic Disease

    PCD · 2 publications · 36 citations

    2

    h-index

  4. 2

    h-index

  5. The American Cartographer

    2 publications · 46 citations

    2

    h-index

1–5