Ítem
Acceso Abierto
Nightlight, landcover and buildings: understanding intracity socioeconomic differences
Título de la revista
Autores
Garcia Suaza, Andrés Felipe
Varela, Daniela
Fecha
2024-02-12
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Editor
Universidad del Rosario
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Resumen
Abstract
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.
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Keywords
Remote sensing , Satellite imagery , Nightlights , Points of interest , Spatial segregation , Urban footprints , Informal housing
