#DAK11

Applications of machine learning for mapping inequalities in cities

This is a master dissertation of Kadeem Khan, published in 2019, titled: “Decoding urban inequality: the applications of machine learning for mapping inequalities in cities of the global south“. The dissertation contains a test of use of two machine learning methods: the first method attempted to map living conditions for small areas in the city. The second method produced residential typologies or zones for equitable investment and land management in the city. The methods are applied to Nairobi, with some comparative analysis of Dakar.