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Verfasst von:Herfort, Benjamin [VerfasserIn]   i
 Lautenbach, Sven [VerfasserIn]   i
 Porto de Albuquerque, João [VerfasserIn]   i
 Anderson, Jennings [VerfasserIn]   i
 Zipf, Alexander [VerfasserIn]   i
Titel:A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap
Verf.angabe:Benjamin Herfort, Sven Lautenbach, João Porto de Albuquerque, Jennings Anderson, Alexander Zipf
E-Jahr:2023
Jahr:06 July 2023
Umfang:14 S.
Fussnoten:Gesehen am 01.08.2023
Titel Quelle:Enthalten in: Nature Communications
Ort Quelle:[London] : Nature Publishing Group UK, 2010
Jahr Quelle:2023
Band/Heft Quelle:14(2023), Artikel-ID 3985, Seite 1-14
ISSN Quelle:2041-1723
Abstract: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 of OSM building stock data for 13,189 urban agglomerations worldwide. For 1,848 urban centres (16% of the urban population), OSM building footprint data exceeds 80% completeness, but completeness remains lower than 20% for 9,163 cities (48% of the urban population). Although OSM data inequalities have recently receded, partially as a result of humanitarian mapping efforts, a complex unequal pattern of spatial biases remains, which vary across various human development index groups, population sizes and geographic regions. Based on these results, we provide recommendations for data producers and urban analysts to manage the uneven coverage of OSM data, as well as a framework to support the assessment of completeness biases.
DOI:doi:10.1038/s41467-023-39698-6
URL:kostenfrei: Volltext: https://doi.org/10.1038/s41467-023-39698-6
 kostenfrei: Volltext: https://www.nature.com/articles/s41467-023-39698-6
 DOI: https://doi.org/10.1038/s41467-023-39698-6
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Developing world
 Environmental social sciences
 Geography
K10plus-PPN:1853999601
Verknüpfungen:→ Zeitschrift
 
 
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