Publication | Open Access

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

Built EnvironmentUrban GeographyNeighbourhood Socioeconomic ConditionsGeographyUrban PlanningUrban GreeningGreenspace QuantityStreet View ImagesSocial SciencesUrban Environment