Characterisation of urban environment and activity across space and time using street images and deep learning in Accra

The urban environment influences human health, safety and wellbeing. Cities in Africa are growing faster than other regions but have limited data to guide urban planning and policies. Our aim was to use smart sensing and analytics to characterise the spatial patterns and temporal dynamics of feature...

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Detalles Bibliográficos
Autores principales: Nathvani, Ricky, Clark, Sierra N., Muller, Emily, Alli, Abosede S., Bennett, James E., Nimo, James, Moses, Josephine Bedford, Baah, Solomon, Metzler, A. Barbara, Brauer, Michael, Suel, Esra, Hughes, Allison F., Rashid, Theo, Gemmell, Emily, Moulds, Simon, Baumgartner, Jill, Toledano, Mireille, Agyemang, Ernest, Owusu, George, Agyei-Mensah, Samuel, Arku, Raphael E., Ezzati, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703424/
https://www.ncbi.nlm.nih.gov/pubmed/36443345
http://dx.doi.org/10.1038/s41598-022-24474-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9703424/
https://www.ncbi.nlm.nih.gov/pubmed/36443345
http://dx.doi.org/10.1038/s41598-022-24474-1

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