摘要
因缺乏空间信息使得传统研究体育资源的学者多采用文献法,导致定性分析结果难以精确反映真实情况。为了弥补空间数据缺失的不足,提出了一种基于云计算和GIS进行体育场地空间数据库建设方法,打通了包括合并行政区、创建网格、筛选网格、生成重心、生成缓冲区、按缓冲区抓取、保存数据、生成图层、导入空间数据库等环节的技术流程。以长春市城区范围为例,编程从百度云中抓取体育场地POI数据,构建成长春市城区体育空间数据库,为研究长春市体育资源分布打下坚实数据基础。
Traditional experts have to use documentary method to research sport resources due to lack of spatial information. As a result, it is difficult for qualitative analysis results to accurately reflect the real situation. In order to make up for the shortage of spatial data, this paper proposes a construction method of sports place spatial database based on cloud computing and GIS. The technical process of merging administrative areas, creating grids, filtering grids, generating centroids of grids, creating buffers, grabbing by buffers, saving data, generating layers, and importing into spatial databases has been completed. Take the urban area of Changchun City for example, the algorithm is implemented by Python language to capture the POI data of sports place from Baidu Cloud. The urban sports space database of Changchun City is constructed, laying a solid data foundation for studying the distribution of sports resources in Changchun.
作者
何文娜
HE Wen-na(Jilin Sport University,Changchun 130022,Jilin)
出处
《电脑与电信》
2022年第5期12-15,共4页
Computer & Telecommunication
基金
吉林省科技发展计划项目,项目编号:20190601057FG。
关键词
体育场地
空间数据库
空间分析
兴趣点
云计算
sports place
spatial database
spatial analysis
point of interest
cloud computing
