摘要
为了弥补当前缺少上海市体育资源空间数据的不足,本文提出了一种利用云计算等技术从百度地图在线爬取体育资源数据,即探索通过“云端采集-解析-转换-存储-生成GIS-导入空间数据库”等一系列技术流程,形成一套上海市体育资源空间数据库的自动化高效构建方法。采用GIS软件从PostGIS空间数据库中提取并可视化4333个体育场馆、健身中心、极限运动等体育场地数据。经对比检验,此方法提取体育资源数据正确、可靠,为后续对体育资源的深入分析及综合利用打下数据基础。
In order to make up for the current lack of spatial data of sports resource in Shanghai,this paper propose a new method to capture sports resource data online from Baidu map using some technologies such as cloud computing.It is a full solution including a series of technical processes from data acquisition from cloud-end to data resolve,data transformation,data storage,generating GIS data and import into spatial database.It aims to form an automatic and efficient way to construct sports resource spatial database in Shanghai.Sports data in GIS format contains 4333 sport places cover stadiums,fitness centers,extreme sports,etc.,it can be read from Post GIS database and visualize in GIS software.By comparison and verification,the sports resource data generated by this method is correct and reliable.This data can contribute much for deeper analysis and integrated utilization in the future.
作者
何文娜
He Wenna(Department of Basic Teaching,Jilin Sport University,Changchun 130022,China)
出处
《科学技术创新》
2022年第10期77-80,共4页
Scientific and Technological Innovation
基金
吉林省科技发展计划项目(20190601057FG)资助。
关键词
体育资源
空间数据库
地理信息系统
云计算
Sport resources
Spatial database
Geographic information system
Cloud computing
