Geospatial Data Quality Assessment

Geospatial Data Quality Assessment is a systematic method for evaluating the accuracy, completeness, consistency, and reliability of geographic data within epidemiologic datasets to ensure their fitness for use in spatial analysis and public health decision-making.

125

Publications

12.5K

Citations

436

Authors

191

Institutions

Publications per year

2017–2026

54

Authors

436

  1. RD
    Rodolphe Devillers

    Memorial University of Newfoundland, Canada

    5 publications · 429 citations

    5

    h-index

  2. PM
    Peter Mooney

    National University of Ireland, Maynooth, Ireland

    5 publications · 525 citations

    5

    h-index

  3. AZ
    Alexander Zipf

    Heidelberg University, Germany

    3 publications · 590 citations

    3

    h-index

  4. EB
    Elżbieta Bielecka

    Military University of Technology in Warsaw, Poland

    3 publications · 127 citations

    3

    h-index

  5. YB
    Yvan Bédard

    Université Laval, Canada

    3 publications · 259 citations

    3

    h-index

1–5 of 436