The data resulting from the research article published as Arribas-Bel, D. and Fleischmann, M. ‘Spatial Signatures: Understanding (urban) spaces through form and function’ Habitat International, 128, (102641). doi:10.1016/j.habitatint.2022.102641.
The complete data for Dar es Salaam and Houston are available upon request due to the file size over the figshare limit (6.8GB and 22GB respectively). The signature delineation is available for all case studies.
The code is available at https://github.com/urbangrammarai/spatial_signatures_concept
Funding
Learning an urban grammar from satellite data through AI