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Repository with complementary material for the paper A machine learning approach to urban design interventions in non-planned settlements

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Machine Learning for Urban Morphologies

Repository with complementary material for the paper "A machine learning approach to urban design interventions in non-planned settlements".

This repository includes the python script we used to generate a dataset of images from ArcGIS. The script cannot be used outside of Arcgis since it uses its API.

See the full paper for more details.

Copyright: Anna Boim and Jonathan Dortheimer

License: MIT

Cite this work:

Boim, A., Dortheimer, J., & Sprecher, A. (2022). A MACHINE-LEARNING APPROACH TO URBAN DESIGN INTERVENTIONS IN NON-PLANNED SETTLEMENTS. POST-CARBON, Proceedings of the 27th International Conference of the Association for Computer-Aided Architectural  Design Research in Asia (CAADRIA), 223–232.

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Repository with complementary material for the paper A machine learning approach to urban design interventions in non-planned settlements

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