WEKA平台下基于DBSCAN聚类方法的西宁市城西区服务业集聚度研究

Research on the Clustering Degree of Service Industry in the West District of Xining City Based on DBSCAN Clustering Method Under WEKA Platform

城市服务业的安排布局对市民的生活水平和幸福感有很大的影响,合理的布局能够促进城市健康发展,因此对城市服务业聚集度的研究尤为重要。本文在WEKA平台下,通过DBSCAN聚类算法,使用POI数据分析青海省西宁市城西区服务业中餐饮、购物、交通及生活服务类等方面的集聚度。实验结果表明,该地区在餐饮、购物和生活服务类方面的集聚程度较高,交通设施较其前面三者相对离散,今后规划和建设中应有效地增加交通设施。

The layout of the urban service industry has a great impact on the living standards and happiness of citizens. A reasonable layout can promote the healthy development of the city. Therefore, the research on the concentration of the urban service industry is particularly important. Under the WEKA platform, this paper uses the DBSCAN clustering algorithm to analyze the concentration of catering, shopping, transportation and life services in the service industry in the west of Xining City through the use of POI data. The results show that the area is in the catering, shopping and life services category. The degree of agglomeration is relatively high, and the transportation facilities are relatively separated from the first three. In the future, the planning and construction should effectively increase the transportation facilities.