Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia
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Published:2021-04-14
Issue:4
Volume:10
Page:265
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ISSN:2220-9964
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Container-title:ISPRS International Journal of Geo-Information
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language:en
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Short-container-title:IJGI
Author:
Yeboah GodwinORCID, Porto de Albuquerque JoãoORCID, Troilo Rafael, Tregonning GrantORCID, Perera Shanaka, Ahmed Syed A. K. Shifat, Ajisola MotunrayoORCID, Alam OrnobORCID, Aujla Navneet, Azam Syed Iqbal, Azeem Kehkashan, Bakibinga Pauline, Chen Yen-FuORCID, Choudhury Nazratun Nayeem, Diggle Peter J.ORCID, Fayehun OlufunkeORCID, Gill Paramjit, Griffiths FrancesORCID, Harris BronwynORCID, Iqbal Romaina, Kabaria Caroline, Ziraba Abdhalah Kasiira, Khan Afreen Zaman, Kibe PeterORCID, Kisia Lyagamula, Kyobutungi Catherine, Lilford Richard J., Madan Jason J., Mbaya Nelson, Mberu Blessing, Mohamed Shukri F.ORCID, Muir Helen, Nazish Ahsana, Njeri Anne, Odubanjo Oladoyin, Omigbodun AkinyinkaORCID, Osuh Mary E.ORCID, Owoaje Eme, Oyebode Oyinlola, Pitidis VangelisORCID, Rahman OmarORCID, Rizvi Narjis, Sartori Jo, Smith Simon, Taiwo Olalekan John, Ulbrich Philipp, Uthman Olalekan A., Watson Samuel I., Wilson Ria, Yusuf Rita
Abstract
This paper examines OpenStreetMap data quality at different stages of a participatory mapping process in seven slums in Africa and Asia. Data were drawn from an OpenStreetMap-based participatory mapping process developed as part of a research project focusing on understanding inequalities in healthcare access of slum residents in the Global South. Descriptive statistics and qualitative analysis were employed to examine the following research question: What is the spatial data quality of collaborative remote mapping achieved by volunteer mappers in morphologically complex urban areas? Findings show that the completeness achieved by remote mapping largely depends on the morphology and characteristics of slums such as building density and rooftop architecture, varying from 84% in the best case, to zero in the most difficult site. The major scientific contribution of this study is to provide evidence on the spatial data quality of remotely mapped data through volunteer mapping efforts in morphologically complex urban areas such as slums; the results could provide insights into how much fieldwork would be needed in what level of complexity and to what extent the involvement of local volunteers in these efforts is required.
Funder
National Institute for Health Research (NIHR) Global Health Research Unit on Improving Health in Slums at University of Warwick
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Cited by
29 articles.
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