A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap

OpenStreetMap (OSM) has evolved as a popular dataset for global urban analyses, such as assessing progress towards the Sustainable Development Goals. However, many analyses do not account for the uneven spatial coverage of existing data. We employ a machine-learning model to infer the completeness o...

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Detalles Bibliográficos
Autores principales: Herfort, Benjamin, Lautenbach, Sven, Porto de Albuquerque, João, Anderson, Jennings, Zipf, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326063/
https://www.ncbi.nlm.nih.gov/pubmed/37414776
http://dx.doi.org/10.1038/s41467-023-39698-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326063/
https://www.ncbi.nlm.nih.gov/pubmed/37414776
http://dx.doi.org/10.1038/s41467-023-39698-6

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