摘要
大数据时代的飞速发展,为地理时空数据的基础理论、关键技术和平台方面提供了新的思路。首先对地理时空大数据的特点进行了详细阐述;其次分析了地理时空大数据的数据挖掘方法;然后设计了基于地理时空数据分析的算法平台,融合大数据挖掘算法、边缘计算等新兴技术,可以为科学研究和工程应用提供服务;最后,提出了地理时空大数据智慧校园算法平台的应用案例研究。通过研究,可以为地理时空大数据分析提供理论依据和新的方案。
The rapid development of the big data era has provided new ideas for the basic theory,key technologies and platforms of geographic spatiotemporal data.This paper first elaborates on the characteristics of geographic spatiotemporal big data.Then it analyzes the data mining methods of geographic spatiotemporal big data.Secondly,an algorithm platform based on geographical spatiotemporal data analysis is designed,integrating big data mining algorithm,edge computing and other emerging technologies,which can provide services for scientific research and engineering applications.Finally,the application case study of the smart campus algorithm platform of geographic spatiotemporal big data is proposed.The research in this paper can provide a theoretical basis and a new scheme for the analysis of geographic spatiotemporal big data.
出处
《工业控制计算机》
2023年第6期113-114,117,共3页
Industrial Control Computer
关键词
地理时空大数据
数据挖掘
算法平台
geographic spatiotemporal big data
data mining
algorithm platform
