Scatterplot Selection

Scatterplot Selection is a visual analytics technique that enables users to interactively identify and extract subsets of data points within a scatterplot based on spatial regions, graphical marking, or linked brushing, distinguishing it from automated clustering or statistical filtering by emphasizing user-driven, direct manipulation of visual representations for exploratory data analysis.

2

Publications

50

Citations

9

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

9

  1. HH
    Helwig Hauser

    University of Bergen, Norway

    1 publications · 29 citations

    1

    h-index

  2. CN
    Carolina Nobre

    University of Toronto, Canada

    1 publications · 21 citations

    1

    h-index

  3. MM
    Miriah Meyer

    University of Utah, United States

    1 publications · 21 citations

    1

    h-index

  4. JM
    Jeff M. Phillips

    University of Utah, United States

    1 publications · 21 citations

    1

    h-index

  5. JG
    Jochen Görtler

    University of Konstanz, Germany

    1 publications · 21 citations

    1

    h-index

1–5 of 9

Institutions

4

Venues

  1. Information Visualization

    1 publications · 21 citations

    1

    h-index

  2. Computer Graphics Forum

    1 publications · 29 citations

    1

    h-index

1–2