Spatial Clustering Visualization

Spatial Clustering Visualization is a visual representation method that identifies and displays spatially proximate groups of points or features within geographic data, distinguishing itself from general spatial visualization techniques by explicitly encoding patterns of local density and proximity indicative of underlying clustering processes.

11

Publications

780

Citations

34

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

34

  1. SG
    Shangbing Gao

    Huaiyin Institute of Technology, China

    1 publications · 22 citations

    1

    h-index

  2. SK
    Stephen Kobourov

    University of Arizona, United States

    1 publications · 53 citations

    1

    h-index

  3. CV
    Chris Volinsky

    AT&T (United States), United States

    1 publications · 53 citations

    1

    h-index

  4. GM
    Germana Manca

    George Mason University, United States

    1 publications · 13 citations

    1

    h-index

  5. FM
    Forrest M. Hoffman

    Oak Ridge National Laboratory, United States

    1 publications · 118 citations

    1

    h-index

1–5 of 34

Venues

  1. Computers & Geosciences

    CAGEO · 1 publications · 34 citations

    1

    h-index

  2. BMC Bioinformatics

    1 publications · 18 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  4. Land Use Policy

    1 publications · 13 citations

    1

    h-index

  5. Ecology Letters

    1 publications · 406 citations

    1

    h-index

1–5