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Analysis of OpenStreetMap Data Quality at Different Stages of a Participatory Mapping Process: Evidence from Slums in Africa and Asia
| Content Provider | MDPI |
|---|---|
| Author | Yeboah, Godwin de Albuquerque, João Porto Troilo, Rafael Tregonning, Grant Perera, Shanaka Ahmed, Syed Ajisola, Motunrayo Alam, Ornob Aujla, Navneet Azam, Syed Azeem, Kehkashan Bakibinga, Pauline Chen, Yen-Fu Choudhury, Nazratun Diggle, Peter Fayehun, Olufunke Gill, Paramjit Griffiths, Frances Harris, Bronwyn Iqbal, Romaina Kabaria, Caroline Ziraba, Abdhalah Khan, Afreen Kibe, Peter Kisia, Lyagamula Kyobutungi, Catherine Lilford, Richard Madan, Jason Mbaya, Nelson Mberu, Blessing Mohamed, Shukri Muir, Helen Nazish, Ahsana Njeri, Anne Odubanjo, Oladoyin Omigbodun, Akinyinka Osuh, Mary Owoaje, Eme Oyebode, Oyinlola Pitidis, Vangelis Rahman, Omar Rizvi, Narjis Sartori, Jo Smith, Simon Taiwo, Olalekan Ulbrich, Philipp Uthman, Olalekan Watson, Samuel Wilson, Ria Yusuf, Rita |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 265 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi10040265 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 4 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-04-14 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Geography Openstreetmap Data Quality Participatory Mapping Stages Slum Remote Mapping and Fieldwork Completeness Volunteered Geographic Information Humanitarian Mapping Africa Asia |
| Content Type | Text |
| Resource Type | Article |
