Dataset of Spatial Extents of Physical Urban Areas and Main Urban Areas in Chinese Cities (2020)

Existing public datasets regarding the spatial extents of Chinese cities have yet to identify urban extents based on statistical urban-rural classifications (urban-rural classification codes), nor have they effectively distinguished main urban areas from urban-rural fringe zones.

Furthermore, official vector data for urban boundaries remains unavailable to the general public. In view of this, the present dataset leverages Chinese community/village point data and their urban-rural classification codes, integrated with Global Urban Boundaries (GUB) data. By employing methods such as community/village Voronoi polygon generation, urban-rural type filtering, and spatial overlay fusion, we have developed the first dataset of physical urban areas and main urban areas in Chinese cities based on the statistical attributes of urban-rural classification codes.