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

被引:83
作者
Demuzere, Matthias [1 ]
Hankey, Steve [2 ]
Mills, Gerald [3 ]
Zhang, Wenwen [2 ]
Lu, Tianjun [2 ]
Bechtel, Benjamin [1 ]
机构
[1] Ruhr Univ Bochum, Dept Geog, Bochum, Germany
[2] Virginia Polytech Inst & State Univ, Sch Publ & Int Affairs, Blacksburg, VA 24061 USA
[3] Univ Coll Dublin, Sch Geog, Dublin, Ireland
关键词
LOCAL CLIMATE ZONES; LAND-USE REGRESSION; BUILT ENVIRONMENT; EXPOSURE ASSESSMENT; PHYSICAL-ACTIVITY; CLASSIFICATION; TEMPERATURE; GENERATION; POPULATION; SURFACE;
D O I
10.1038/s41597-020-00605-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:13
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