Combining expert and crowd-sourced training data to map urban form and functions for the continental US

  • Although continental urban areas are relatively small, they are major drivers of environmental change at local, regional and global scales. Moreover, they are especially vulnerable to these changes owing to the concentration of population and their exposure to a range of hydro-meteorological hazards, emphasizing the need for spatially detailed information on urbanized landscapes. These data need to be consistent in content and scale and provide a holistic description of urban layouts to address different user needs. Here, we map the continental United States into Local Climate Zone (LCZ) types at a 100 m spatial resolution using expert and crowd-sourced information. There are 10 urban LCZ types, each associated with a set of relevant variables such that the map represents a valuable database of urban properties. These data are benchmarked against continental-wide existing and novel geographic databases on urban form. We anticipate the dataset provided here will be useful for researchers and practitioners to assess how the configuration, size, and shape of cities impact the important human and environmental outcomes.

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Metadaten
Author:Matthias DemuzereORCiDGND, Steve HankeyGND, Gerald MillsGND, Wenwen ZhangGND, Tianjun LuGND, Benjamin BechtelORCiDGND
URN:urn:nbn:de:hbz:294-94664
DOI:https://doi.org/10.1038/s41597-020-00605-z
Parent Title (English):Scientific data
Publisher:Nature Publishing Group
Place of publication:London
Document Type:Article
Language:English
Date of Publication (online):2022/12/05
Date of first Publication:2020/08/11
Publishing Institution:Ruhr-Universität Bochum, Universitätsbibliothek
Volume:7
Issue:Article 264
First Page:264-1
Last Page:264-13
Note:
Dieser Beitrag ist auf Grund des DEAL-Springer-Vertrages frei zugänglich.
Institutes/Facilities:Geographisches Institut
open_access (DINI-Set):open_access
faculties:Fakultät für Geowissenschaften
Licence (English):License LogoCreative Commons - CC BY 4.0 - Attribution 4.0 International