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作 者:Dawa Zhaxi Weiqi Zhou Steward T.A.Pickett Chengmeng Guo Yang Yao
机构地区:[1]State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Beijing Urban Ecosystem Research Station,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China [4]Beijing-Tianjin-Hebei Urban Megaregion National Observation and Research Station for Eco-Environmental Change,Chinese Academy of Sciences,Beijing 100085,China [5]Cary Institute of Ecosystem Studies,Millbrook,NY 12545,USA
出 处:《Geography and Sustainability》2024年第3期357-369,共13页地理学与可持续性(英文)
基 金:support from the National Natural Science Fund for Distinguished Young Scholars(Grant No.42225104);the National Natural Science Foundation(Grant No.U21A2010).
摘 要:There are urgent calls for new approaches to map the global urban conditions of complexity,diffuseness,diversity,and connectivity.However,existing methods mostly focus on mapping urbanized areas as bio physical entities.Here,based on the continuum of urbanity framework,we developed an approach for cross-scale urbanity map-ping from town to city and urban megaregion with different spatial resolutions using the Google Earth Engine.This approach was developed based on multi-source remote sensing data,Points of Interest-Open Street Map(POIs-OSM)big data,and the random forest regression model.This approach is scale-independent and revealed significant spatial variations in urbanity,underscoring differences in urbanization patterns across megaregions and between urban and rural areas.Urbanity was observed transcending traditional urban boundaries,diffusing into rural settlements within non-urban locales.The finding of urbanity in rural communities far from urban areas challenges the gradient theory of urban-rural development and distribution.By mapping livelihoods,lifestyles,and connectivity simultaneously,urbanity maps present a more comprehensive characterization of the complex-ity,diffuseness,diversity,and connectivity of urbanized areas than that by land cover or population density alone.It helps enhance the understanding of urbanization beyond biophysical form.This approach can provide a multifaceted understanding of urbanization,and thereby insights on urban and regional sustainability.
关 键 词:Continuum of Urbanity Big data MAPPING Spatial regression Multiscale
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