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 sat...
- Autores:
- Tipo de recurso:
- 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
- Rights
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Summary: | 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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