A Study on Spatial Imagery of Xi'an Under Weibo Data
Under the digital transformation trend of urban spatial planning, the research method combined with big data of "urban imagery" is being constantly innovated. In order to further optimize the spatial structure of Xi'an, comprehensively assess the development potential of its streets and strengthen the "Xi'an experience", this paper, based on the check-in data on microblog over one year and the categorization of urban imagery factors by scholars, classified the imagery factors into three categories: urban environment, cultural activities and natural landscape. Also, word frequency statistics and spatial clustering analysis were carried out to excavate the featured imagery factors of each street in the city. Meanwhile, eight spatial imagery influencing factors were selected from cultural, ecological and economic aspects, and the spatial imagery driving factors were further analyzed employing geodetectors, with relevant optimization strategies presented in the light of the current development situation of each street.
万方数据
维普
