Collaborative Geospatial Data Quality Control

Collaborative Geospatial Data Quality Control is a systematic framework designed to ensure the accuracy, consistency, and reliability of geospatial data generated through collaborative mapping initiatives by integrating participatory validation mechanisms, automated quality assessment techniques, and governance structures that distinguish it from traditional, centralized geospatial quality assurance approaches.

1

Publications

135

Citations

4

Authors

3

Institutions

Publications per year

2017–2026

1

Authors

4

  1. PM
    Peter Mooney

    National University of Ireland, Maynooth, Ireland

    1 publications · 135 citations

    1

    h-index

  2. AB
    Anahid Basiri

    University of Nottingham, United Kingdom

    1 publications · 135 citations

    1

    h-index

  3. MH
    Muki Haklay

    University College London, United Kingdom

    1 publications · 135 citations

    1

    h-index

  4. GM
    Giles M. Foody

    University of Nottingham, United Kingdom

    1 publications · 135 citations

    1

    h-index

1–4 of 4

Institutions

3

  1. University of Nottingham

    Nottingham, United Kingdom

    1 h-index

    1 publications

    135 citations

  2. University College London

    London, United Kingdom

    1 h-index

    2 publications

    270 citations

  3. National University of Ireland, Maynooth

    Maynooth, Ireland

    1 h-index

    1 publications

    135 citations

1–3 of 3

Venues

  1. 1

    h-index

1–1