The widely cited statistic from UN-Habitat – 1 billion slum dwellers globally – is calculated by classifying and counting urban “slum households” based on census or survey data. Experts who map urban deprivation with this approach classify local areas, such as census enumeration units or survey clusters, as “slum areas” when 50% or more of households meet the “slum household” definition.
However, households and areas are different. Deprived households do not necessarily concentrate in slum areas, informal settlements, and areas of inadequate housing. In many cities, a large portion (even a majority) of so called “slum households” are located outside of “slum areas.”
Current methods of mapping “slum” areas take place in isolation.
IDEAMAPS aims towards integration - using strengths from each approach to build a more detailed system.
Field-based mapping is commonly performed by community NGOs such as Slum Dwellers International, and linked to advocacy...
The widely cited statistic from UN-Habitat – 1 billion slum dwellers globally – is calculated by classifying and counting urban “slum ...
Satellite imagery is sometimes used to manually digitize informal settlements. This approach is typically based on a...
Data scientists use computer models to semi-automatically classify deprived urban areas from satellite imagery and other...
