Multivariate Choropleth Maps

Multivariate Choropleth Maps is a cartographic visualization technique that extends the standard choropleth map by encoding multiple variables within each spatial unit through combined visual variables such as color hue, saturation, or patterns, thereby enabling the simultaneous representation and comparison of several thematic dimensions across geographic regions.

5

Publications

297

Citations

14

Authors

11

Institutions

Publications per year

2017–2026

0

Variants

Multivariate Choropleth Map

Authors

14

  1. DB
    Daniel B. Carr

    Tufts Medical Center, United States

    2 publications · 129 citations

    2

    h-index

  2. RE
    Robert E. Roth

    University of Wisconsin–Madison, United States

    1 publications · 11 citations

    1

    h-index

  3. ML
    Mary L. Chipman

    University of Toronto, Canada

    1 publications · 96 citations

    1

    h-index

  4. CR
    Claus Rinner

    Toronto Metropolitan University, Canada

    1 publications · 96 citations

    1

    h-index

  5. JW
    John Wallin

    George Mason University, United States

    1 publications · 72 citations

    1

    h-index

1–5 of 14

Venues

  1. PLoS ONE

    1 publications · 96 citations

    1

    h-index

  2. Cartographic Perspectives

    1 publications · 11 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 61 citations

    1

    h-index

  4. Statistics in Medicine

    1 publications · 72 citations

    1

    h-index

  5. 1

    h-index

1–5