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
125
Cort J. Willmott · Physical Geography · 1981 · 4.7K citations
Computing, Geoinformatics, Geographic Information Science +9
Quality Assessment of the French OpenStreetMap Dataset
Jean‐François Girres, Guillaume Touya · Transactions in GIS · 2010 · 672 citations · Full text
Computing, Geography, Geoinformatics +17
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191

Military University of Technology in Warsaw
Warsaw, Poland
4 h-index
6 publications
225 citations
Wuhan University
Wuhan, China
4 h-index
9 publications
522 citations
Heidelberg University
Heidelberg, Germany
3 h-index
12 publications
1.9K citations
University of California, Santa Barbara
Santa Barbara, United States
3 h-index
3 publications
165 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
4 publications
189 citations

Université Laval
Québec, Canada
3 h-index
8 publications
731 citations
National University of Ireland, Maynooth
Maynooth, Ireland
3 h-index
5 publications
765 citations
Arizona State University
Tempe, United States
2 h-index
6 publications
438 citations
1–8 of 191
9 publications · 1.4K citations
9
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8 publications · 641 citations
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IJGI · 7 publications · 546 citations
7
h-index
5 publications · 213 citations
5
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5 publications · 464 citations
5
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1–5