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OpenStreetMap data use cases during the early months of the COVID-19 pandemic
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Peter, Mooney, Grinberger, A. Yair, Marco, Minghini, Serena, Coetzee, Levente, Juhasz and Yeboah, Godwin (2021) OpenStreetMap data use cases during the early months of the COVID-19 pandemic. In: Abbas, Rajabifard and Daniel, Paez and Greg, Foliente, (eds.) COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons. CRC Press, Taylor & Francis Group, pp. 171-186. ISBN 9780367775315
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Official URL: https://www.routledge.com/COVID-19-Pandemic-Geospa...
Abstract
Created by volunteers since 2004, OpenStreetMap (OSM) is a global geographic database available under an open access license and currently used by a multitude of actors worldwide. This chapter describes the role played by OSM during the early months (from January to July 2020) of the ongoing COVID-19 pandemic, which - in contrast to past disasters and epidemics - is a global event impacting both developed and developing countries. A large number of COVID-19-related OSM use cases were collected and grouped into a number of research frameworks which are analyzed separately: dashboards and services simply using OSM as a basemap, applications using raw OSM data, initiatives to collect new OSM data, imports of authoritative data into OSM, and traditional academic research on OSM in the COVID-19 response. The wealth of examples provided in the chapter, including an analysis of OSM tile usage in two countries (Italy and China) deeply affected in the earliest months of 2020, prove that OSM has been and still is heavily used to address the COVID-19 crisis, although with types and mechanisms that are often different depending on the affected area or country and the related communities.
Item Type: | Book Item | ||||
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Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography G Geography. Anthropology. Recreation > GE Environmental Sciences H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > T Technology (General) |
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Divisions: | Faculty of Arts > School for Cross-faculty Studies Faculty of Arts > School for Cross-faculty Studies > Institute for Global Sustainable Development |
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Library of Congress Subject Headings (LCSH): | OpenStreetMap, Digital mapping, Geospatial data -- Computer programs, Geographic information systems, COVID-19 Pandemic, 2020- | ||||
Publisher: | CRC Press, Taylor & Francis Group | ||||
ISBN: | 9780367775315 | ||||
Book Title: | COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons | ||||
Editor: | Abbas, Rajabifard and Daniel, Paez and Greg, Foliente | ||||
Official Date: | 8 June 2021 | ||||
Dates: |
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Volume: | 1 | ||||
Number of Pages: | 16 | ||||
Page Range: | pp. 171-186 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Copyright Holders: | CRC Press | ||||
Date of first compliant deposit: | 17 June 2021 | ||||
Date of first compliant Open Access: | 17 June 2021 | ||||
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