Nightlight, landcover and buildings: understanding intracity socioeconomic differences

Monitoring patterns of segregation and inequality at small-area geographic levels is extremely costly. However, the increased availability of data through non-traditional sources such as satellite imagery facilitates this task. This paper assess the relevance of data from nightlight and day-time satellite imagery as well as building footprints and localization of points of interest for mapping variability in socio-economic outcomes, i.e., household income, labor formality, life quality perception and household informality. The outcomes are computed at a granular level by combining census data, survey data, and small area estimation. The results reveal that non-traditional sources are important to predict spatial differences socio-economic outcomes. Furthermore, the combination of all sources creates complementarities that enable a more accurate spatial distribution of the studied variables.

• Fecha de publicación: 2024
• Institución: Universidad del Rosario
• Repositorio: Repositorio EdocUR - U. Rosario
• Idioma: eng
• OAI Identifier: oai:repository.urosario.edu.co:10336/42233
• Acceso en línea: https://repository.urosario.edu.co/handle/10336/42233
• Palabra clave: R12, E26, C21; Remote sensing; Satellite imagery; Nightlights; Points of interest; Spatial segregation; Urban footprints; Informal housing
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/