Spatial Correlation Visualization

Spatial Correlation Visualization is a visual representation method that integrates spatial proximity and multivariate correlation structures to reveal geographic patterns in data, distinguished from other visualization techniques by its simultaneous encoding of spatial relationships and statistical dependencies among variables.

21

Publications

616

Citations

69

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

69

  1. FO
    Felipe Osorio

    University of Valparaíso, Chile

    2 publications · 30 citations

    2

    h-index

  2. RW
    Rüdiger Westermann

    Technical University of Munich, Germany

    2 publications · 103 citations

    2

    h-index

  3. RV
    Ronny Vallejos

    Federico Santa María Technical University, Chile

    2 publications · 30 citations

    2

    h-index

  4. YJ
    Yun Jang

    Sejong University, South Korea

    1 publications · 46 citations

    1

    h-index

  5. OC
    Olof C. Hellman

    Northwestern University, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 69

Venues

  1. Computer Graphics Forum

    2 publications · 103 citations

    2

    h-index

  2. Statistica Neerlandica

    1 publications · 12 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 55 citations

    1

    h-index

  4. Computers & Geosciences

    CAGEO · 1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5