摘要
空间大数据对GIS软件技术的发展提出了新的要求和挑战。但业界对于空间大数据的认知有待明晰,对于如何挖掘大数据的价值尚存疑虑。首先阐述了空间大数据的内涵,在此基础上,提出了大数据时代的GIS基础软件技术,并分析了其应用前景。大数据GIS软件技术包括针对空间大数据处理和挖掘的空间大数据技术,也包括针对经典空间数据管理和处理的对传统GIS功能的分布式重构,同时还需要云GIS技术和跨平台GIS技术作为支撑,提供弹性的计算资源和服务以及支撑跨平台的访问和应用。研究表明,大数据GIS软件技术和产品可以有效地降低大数据挖掘的技术门槛,降低空间大数据挖掘的成本。
Spatial big data poses new requirements and challenges for GIS software technology.While the whole industry has no clear understanding for spatial big data,and has doubts about how to dig the value of the spatial big data.In this paper,we propose the big data GIS basic software technology and analyze its application potential.It includes spatial big data technology,which is specifically for spatial big data processing and mining.It also includes the distributed reconstruction of traditional GIS function,which is for dramatically performance improvement of classic spatial data management and processing.The big data GIS supporting technology(i.e.,cloud GIS technology and cross platform GIS technology)is necessary and used to provide resilient computing resource and service and support cross platform access and application.Big data GIS basic software can reduce the technical threshold for big data mining and reduce the mining cost at the same time.
出处
《测绘地理信息》
2018年第1期1-7,共7页
Journal of Geomatics
基金
国家重点研发计划资助项目(2016YFB0502000)
关键词
空间大数据
分布式存储
分布式空间分析
流数据处理
大数据可视化
spatial big data
distributed storage
distributedspatial analysis
streaming data processing
big data visualization