基于高德兴趣点的长沙市零售商业空间分析

通过获取高德地图最新的兴趣点（POI）数据为研究对象，分析长沙市零售商业空间分布；识别出城市零售商业中心与零售业态分布，研究表明：以核密度估计法识别出的商业中心呈现出主商业中心和次商业中心的等级中心圈层体系，结果较符合客观事实；通过最近邻近点距离法得出三类商业机构都为集聚空间分布，集聚程度和数量无明显关系，由高到低分别为便利店、商场商厦、超市；选取长沙市的街道作为单位，以局域Getis-Ord G*指数法获取出的热点主要分布在开福区和芙蓉区，表明长沙市零售商业发展已经基本形成多核心的格局。总体上来看，通过高德地图兴趣点所分析出的长沙市零售业商业中心和集聚特征与商业经济分布的相关性，该结果有利于指导商业空间布局规划和零售商业选址。

Analysis of Changsha Retail Commercial Space based on Amap's interest Point

Business center is an important part of retail industry in urban spatial distribution, is an important carrier to identify the city center, and reasonable optimization of retail resource allocation can provide a reasonable reference for urban planning. The result is beneficial to the scientific layout of commercial space and the location of retailers. This paper takes the data of interest points (POI) in public Internet map as the research object, and looks for a method to identify urban commercial centers and retail formats; Taking Changsha as an example, this paper analyzes the spatial distribution of commercial activities and the concentration of retail formats. Research shows: According to the nuclear density estimation method, the commercial center is formed in the hierarchy of the central business center and the sub business center, and the results are in line with the objective facts. Through the nearest neighbor distance method, we find that the three types of commercial establishments are agglomeration spatial distribution, and the degree of agglomeration is less related to the quantity, from high to low respectively for convenience stores, shopping malls, commercial buildings and supermarkets. On the streets of the city as a unit, mainly distributed in Kaifu District and Furong district by hot region local Getis-Ord G* index method to identify the Changsha retail on the core pattern of industry development has been formed. Overall, Changsha retail business center and clustering analysis results can reflect the distribution characteristics of the commercial economy correlation distribution of the different retail agglomeration of regional space, the results are conducive to scientific planning of commercial space layout and retailer location.