The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
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Title
The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
Authors
Keywords
Greenspace, Socioeconomic conditions, Street view, Machine learning, Environmental disparity, China
Journal
Sustainable Cities and Society
Volume 66, Issue -, Pages 102664
Publisher
Elsevier BV
Online
2020-12-27
DOI
10.1016/j.scs.2020.102664
References
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