Spatial Data Quality Assurance is a systematic process within spatial data management that verifies and maintains the accuracy, completeness, consistency, and reliability of geospatial datasets through predefined standards, procedures, and controls to ensure their fitness for intended uses.
58
Publications
4.7K
Citations
265
Authors
111
Institutions
Publications per year
2017–2026
17
Parents
Publications
58
Quality Assessment of the French OpenStreetMap Dataset
Jean‐François Girres, Guillaume Touya · Transactions in GIS · 2010 · 672 citations · Full text
Computing, Geography, Geoinformatics +17
Towards quality metrics for OpenStreetMap
Peter Mooney, Padraig Corcoran, Adam C. Winstanley · 2010 · 205 citations
Computing, Geography, Geoinformatics +16
1–5 of 58
Authors
265
- RD
4
h-index
- YB
3
h-index
- XT
2
h-index
- MK
2
h-index
- MR
2
h-index
1–5 of 265
Institutions
111
Tongji University
Shanghai, China
2 h-index
6 publications
204 citations
The University of Melbourne
Melbourne, Australia
2 h-index
2 publications
80 citations
Université Laval
Québec, Canada
2 h-index
3 publications
306 citations
University of Tehran
Tehran, Iran
2 h-index
3 publications
234 citations
University of Science and Technology of China
Hefei, China
1 h-index
2 publications
40 citations
NOAA National Centers for Environmental Information
Asheville, United States
1 h-index
1 publications
38 citations
China Centre for Resources Satellite Data and Application
Beijing, China
1 h-index
2 publications
40 citations
Ordnance Survey
Southampton, United Kingdom
1 h-index
1 publications
47 citations
1–8 of 111
Venues
- Transactions in GIS
7 publications · 946 citations
7
h-index
- Computers & Geosciences
CAGEO · 3 publications · 90 citations
3
h-index
- International Journal of Geographical Information Systems
3 publications · 65 citations
3
h-index
- ISPRS International Journal of Geo-Information
IJGI · 3 publications · 336 citations
3
h-index
- The Cartographic Journal
2 publications · 442 citations
2
h-index
1–5