Spatial Data Quality Assessment

Spatial Data Quality Assessment is a systematic evaluation process that belongs to the category of geospatial data validation methods, differing from its peers by specifically quantifying the accuracy, completeness, consistency, and reliability of spatial data within defined metric frameworks to support informed decision-making in applications such as geospatial uncertainty modeling and mine lease surveying.

187

Publications

11.3K

Citations

586

Authors

243

Institutions

Publications per year

2017–2026

64

Authors

586

  1. MA
    Maria Antonia Brovelli

    Politecnico di Milano, Italy

    6 publications · 445 citations

    6

    h-index

  2. RD
    Rodolphe Devillers

    Memorial University of Newfoundland, Canada

    6 publications · 391 citations

    6

    h-index

  3. WS
    Wenzhong Shi

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 388 citations

    4

    h-index

  4. PA
    Paul A. Zandbergen

    University of New Mexico, United States

    4 publications · 342 citations

    4

    h-index

  5. MA
    Muh Arif Suhattanto

    Agruicultural Research Institute, Cyprus

    3 publications · 50 citations

    3

    h-index

1–5 of 586

Venues