Published January 28, 2026
| Version v1
Dataset
Open
Morphological Informality Modelled Dataset in Harare, Zimbabwe
Authors/Creators
-
Hafner, Sebastian
(Researcher)1
-
Zhao, Qunshan
(Researcher)2
- Abascal, Angela (Researcher)2
- Comerio de Paulo, Manuella (Researcher)2
- Tregonning, Grant (Researcher)2
- Middleton, Alexandra (Researcher)3
- Shonowo, Adenike (Researcher)2
-
Kuffer, Monika
(Researcher)4
-
Engstrom, Ryan
(Researcher)5
- Thomson, Dana R (Researcher)6
- Onyambu, Francis C (Researcher)7
- Kabaria, Caroline (Researcher)7
- Elias, Peter (Researcher)8
- Odulana, Oluwatoyin (Researcher)8
- Alugbin, Bunmi (Researcher)8
- Baruwa, Kehinde (Researcher)8
-
Zhu, Mingyu
(Producer)2
-
Porto de Albuquerque, João
(Researcher)2
- 1. KTH Royal Institute of Technology
-
2.
University of Glasgow
- 3. University of Warwick
- 4. Universiteit Twente Faculteit Geo-Informatie Wetenschappen en Aardobservatie
- 5. George Washington University
- 6. Center for Integrated Earth System Information
- 7. African Population and Health Research Center
- 8. University of Lagos
Description
This dataset represents the difference between planned and unplanned areas of the city as an indication of urban deprivation. Areas with higher levels of morphological informality are related to more deprived areas.
Produced as part of the IDEAMAPS Data Ecosystem project, the work was supported, in whole or in part, by the Bill & Melinda Gates Foundation INV-045252. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the Bill & Melinda Gates Foundation.
Files
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Additional details
Related works
- Is described by
- Conference paper: 10.5194/isprs-archives-XLVIII-M-7-2025-221-2025 (DOI)
Funding
- Bill & Melinda Gates Foundation
- INV-045252
Software
- Repository URL
- https://github.com/urbanbigdatacentre/ideamaps-models