Error Distribution Visualization

Error Distribution Visualization is a methodological framework within error visualization that characterizes the spatial, temporal, or statistical pattern of errors across a dataset or model output to reveal systematic biases, outliers, or reliability trends in predictive performance.

12

Publications

542

Citations

26

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

26

  1. MM
    Manfréd M. Fischer

    Vienna University of Economics and Business, Austria

    1 publications · 144 citations

    1

    h-index

  2. CS
    Christoph Schmidt

    University of Bayreuth, Germany

    1 publications · 144 citations

    1

    h-index

  3. JA
    Joaquim Alves Gaspar

    Network for Studies on Pensions, Aging and Retirement, Netherlands

    1 publications · 26 citations

    1

    h-index

  4. JR
    José R. Zapata

    Universitat Pompeu Fabra, Spain

    1 publications · 27 citations

    1

    h-index

  5. AT
    Andrew T. A. Wood

    University of Nottingham, United Kingdom

    1 publications · 29 citations

    1

    h-index

1–5 of 26

Venues

  1. International Journal of Remote Sensing

    1 publications · 32 citations

    1

    h-index

  2. 1

    h-index

  3. Imago Mundi

    1 publications · 26 citations

    1

    h-index

  4. Land Economics

    1 publications · 22 citations

    1

    h-index

  5. 1

    h-index

1–5