Spatial Distribution and Influencing Factors of Urban Pet Hospitals:A Case Study of Shanghai
The study takes Shanghai as the research are,uses the DBSCAN clustering,K-means method and MGWR model in unsupervised learning algorithm,explains the spatial distribution of urban pet hospitals through the spatial big data analysis,explores its multiple influencing factors,and deeply explains the results of spatial analysis based on the multiple qualitative data.It's found that:1)The distribution of urban pet hospitals in Shanghai has an obvious clustering effect,and shows a trend of spreading from the central city to the surrounding districts and counties.2)In terms of cluster distribution,there are 41 clusters of urban pet hospitals in Shanghai,mainly located in the main urban area of Shanghai,gradually spreading to the southwest and northwest.3)In terms of spatial evolution,the spatial patterns of the clusters of Shanghai's urban pet hospitals have obvious evolutionary characteristics.4)In terms of hierarchy,there are five levels of urban pet hospitals in Shanghai,it shows the spatial distribution characteristics of"one core with multiple levels".5)In terms of influencing factors,the density of bus stops and the density of park squares both have a negative influence on the density of pet hospitals,while the density of pet supply stores and the residential density have a significant positive influence on the density of pet hospitals,and the degree of influence of each factor also has spatially divergent characteristics.Finally,the study pointed out the multiple accessibility problems of pet hospitals and the new trend under the digital background,providing a new reference for China to improve the social welfare through urban space management.
urban spacepet economypet hospitalsresidential areasaccessibilityconsumer city
万方数据
