Combining expert and crowd-sourced training data to map urban form and functions for the continental US.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
11 08 2020
11 08 2020
Historique:
received:
20
12
2019
accepted:
15
07
2020
entrez:
13
8
2020
pubmed:
13
8
2020
medline:
13
8
2020
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 32782324
doi: 10.1038/s41597-020-00605-z
pii: 10.1038/s41597-020-00605-z
pmc: PMC7421904
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
264Subventions
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 437467569
Pays : International
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 437467569
Pays : International
Organisme : Deutsche Forschungsgemeinschaft (German Research Foundation)
ID : 437467569
Pays : International
Organisme : EPA
ID : R835873
Pays : United States
Organisme : EPA
ID : R835873
Pays : United States
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