Quantifying slumness with remote sensing data
The presence of slums in a city is an indicator of poverty and its proper delimitation is a matter of interest for researchers and policy makers. Socio-economic data from surveys and censuses are the primary source of information to identify and quantify slumness within a city or a town. One problem...
- Autores:
-
Duque, Juan C.
Patino, Jorge E.
Ruiz, Luis A.
Pardo-Pascual, Josep E.
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/1050
- Acceso en línea:
- http://hdl.handle.net/10784/1050
- Palabra clave:
- Regional Science
Remote Sensing
Slum
GEOBIA
- Rights
- License
- Acceso abierto