Morphological Informality Modelled Dataset in Nairobi, Kenya

University of Twente Research Information 2026 Dataset Open access

Read full text
Authors: Sebastian Häfner, Qunshan Zhao, Ángela Abascal, Manuella Comerio de Paulo, Grant Tregonning, Alexandra Middleton, Adenike Shonowo, Monika Kuffer, Ryan N. Engstrom, Dana R Thomson, Francis C. Onyambu, Caroline Kabaria
+5 more Peter Elias, Oluwatoyin Odulana, Bunmi Alugbin, Kehinde Baruwa, Porto de Albuquerque, João
DOI: 10.5281/zenodo.17963362
Cited by: 1

Abstract

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.

Publication details

Journal / source
University of Twente Research Information
Publication date
20 January 2026
Document type
Dataset