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A proposal for a QGIS plugin for spatio-temporal analysis of OSM data quality: the case study for the city of Salvador, Brazil

Elias, Elias N. N. ; Amorim, Fabricio R. ; Silva, Leonardo S. ; Schmidt, Marcio A. ; Camboim, Silvana P. ; Fernandes, Vivian O.

In: Minghini, M. ; Ludwig, C ; Anderson, J. ; Mooney, P. ; Grinberger, A.Y. (Hrsgg.): Proceedings of the Academic Track, State of the Map 2021. Zenodo July 2021, pp. 27-30

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Download (85kB) | Lizenz: Creative Commons LizenzvertragA proposal for a QGIS plugin for spatio-temporal analysis of OSM data quality: the case study for the city of Salvador, Brazil by Elias, Elias N. N. ; Amorim, Fabricio R. ; Silva, Leonardo S. ; Schmidt, Marcio A. ; Camboim, Silvana P. ; Fernandes, Vivian O. underlies the terms of Creative Commons Attribution 4.0

Official URL: http://doi.org/10.5281/zenodo.5112244
Citation of documents: Please do not cite the URL that is displayed in your browser location input, instead use the DOI, URN or the persistent URL below, as we can guarantee their long-time accessibility.
Document type: Book Section
Editor: Minghini, M. ; Ludwig, C ; Anderson, J. ; Mooney, P. ; Grinberger, A.Y.
Title of Book: Proceedings of the Academic Track, State of the Map 2021
Publisher: Zenodo
Date Deposited: 22 Oct 2021 14:53
Date: July 2021
Page Range: pp. 27-30
Faculties / Institutes: Fakultät für Chemie und Geowissenschaften > Institute of Geography
DDC-classification: 550 Earth sciences
Controlled Keywords: OpenStreetMap
Uncontrolled Keywords: giscience, geographic information science, qgis, data quality, spatio-temporal
Collection: Academic Track at State of the Map 2021
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