Sampling Error Visualization

Sampling Error Visualization is a methodological framework within error visualization that specifically represents the uncertainty and variability in data estimates due to the selection of samples from a larger population.

4

Publications

243

Citations

3

Authors

2

Institutions

Publications per year

2017–2026

3

Authors

3

  1. GP
    Gjalt-Jorn Peters

    Open University of the Netherlands, Netherlands

    2 publications · 34 citations

    2

    h-index

  2. JW
    John Wright

    1 publications · 117 citations

    1

    h-index

  3. CF
    Calvin F. Schmid

    University of Washington, United States

    1 publications · 117 citations

    1

    h-index

1–3 of 3

Institutions

2

  1. Hong Kong Metropolitan University

    Hong Kong, Hong Kong

    2 h-index

    2 publications

    34 citations

  2. Maastricht University

    Maastricht, The Netherlands

    1 h-index

    1 publications

    22 citations

1–2 of 2

Venues

  1. Geographical Journal

    1 publications · 117 citations

    1

    h-index

  2. OSF Preprints (OSF Preprints)

    Repository · 1 publications · 12 citations

    1

    h-index

  3. The Journal of Open Source Software

    JOSS · 1 publications · 92 citations

    1

    h-index

1–3