Upscaling household survey data using remote sensing to map socioeconomic groups in kampala, Uganda

Lisa Marie Hemerijckx*, Sam Van Emelen, Joachim Rymenants, Jac Davis, Peter H. Verburg, Shuaib Lwasa, Anton Van Rompaey

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

Sub‐Saharan African cities are expanding horizontally, demonstrating spatial patterns of urban sprawl and socioeconomic segregation. An important research gap around the geographies of urban populations is that city-wide analyses mask local socioeconomic inequalities. This research focuses on those inequalities by identifying the spatial settlement patterns of socioeconomic groups within the Greater Kampala Metropolitan Area (Uganda). Findings are based on a novel dataset, an extensive household survey with 541 households, conducted in Kampala in 2019. To identify different socioeconomic groups, a k-prototypes clustering method was applied to the survey data. A maximum likelihood classification method was applied on a recent Landsat-8 image of the city and compared to the socioeconomic clustering through a fuzzy error matrix. The resulting maps show how different socioeconomic clusters are located around the city. We propose a simple method to upscale household survey responses to a larger study area, to use these data as a base map for further analysis or urban planning purposes. Obtaining a better understanding of the spatial variability in socioeconomic dynamics can aid urban policy‐makers to target their decision-making processes towards a more favorable and sustainable future.

Original languageEnglish
Article number3468
Pages (from-to)1-21
Number of pages21
JournalRemote Sensing
Volume12
Issue number20
DOIs
Publication statusPublished - 2 Oct 2020
Externally publishedYes

Bibliographical note

Funding Information:
This research was funded by LEAP-Agri and Fonds Wetenschappelijk Onderzoek (FWO) Vlaanderen
(grant number 11C6120N).

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

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