Glyph-based Correlation Visualization

Glyph-Based Correlation Visualization is a visualization method that encodes multivariate correlation patterns in data using individual geometric symbols (glyphs), where each glyph’s visual features represent the relationships among variables for a specific data instance, distinguishing it from other correlation visualization techniques through its use of structured, per-unit graphical marks to convey complex dependency structures in a compact spatial arrangement.

3

Publications

234

Citations

11

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

11

  1. AT
    Anne Trefethen

    University of Oxford, United Kingdom

    1 publications · 37 citations

    1

    h-index

  2. ED
    E. D. Chow

    1 publications · 37 citations

    1

    h-index

  3. JK
    Jackson Kirkman‐Brown

    University of Birmingham, United Kingdom

    1 publications · 37 citations

    1

    h-index

  4. DJ
    David J. Smith

    University of Birmingham, United Kingdom

    1 publications · 37 citations

    1

    h-index

  5. EA
    Eamonn A. Gaffney

    University of Oxford, United Kingdom

    1 publications · 37 citations

    1

    h-index

1–5 of 11

Institutions

3

  1. University of Oxford

    Oxford, United Kingdom

    1 h-index

    5 publications

    185 citations

  2. Queen's University

    Kingston, Canada

    1 h-index

    2 publications

    320 citations

  3. University of Birmingham

    Birmingham, United Kingdom

    1 h-index

    2 publications

    74 citations

1–3 of 3

Venues

  1. The American Statistician

    2 publications · 197 citations

    2

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 37 citations

    1

    h-index

1–2