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An integrated GIS platform architecture for spatiotemporal big data

文献类型：期刊论文

作者Wang, Shaohua1,2; Zhong, Yang3; Wang, Erqi4,5,6
刊名FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
出版日期2019-05-01
卷号94页码:160-172
关键词Spatiotemporal big data Distributed computing framework Cloud-terminal integration GIS SuperMap GIS
ISSN号0167-739X
DOI10.1016/j.future.2018.10.034
通讯作者Wang, Shaohua(wangshaohua@lreis.ac.cn)
英文摘要With the increase in smart devices, spatiotemporal data has grown exponentially. To deal with challenges caused by an increase data requires a scalable and efficient architecture that can store, query, analyze, and visualize spatiotemporal big data. This paper describes a Cloud-terminal integrated GIS platform architecture designed to meet the requirements of processing and analyzing spatiotemporal big data. Cloud terminal Integration GIS is developed according to the architecture. Extensive experiments deployed on the internal organization cluster using real-time datasets showed that the SuperMap GIS spatiotemporal big data engine achieved excellent performance. (C) 2018 Elsevier B.V. All rights reserved.
资助项目National Key RD Plan[2016YFB0502004] ; Independent Research Project of State Key Laboratory of Resources and Environmental Information Systems, Chinese Academy of Sciences[088RAC00YA] ; Project of Beijing Excellent Talents[201500002685XG242] ; National Postdoctoral International Exchange Program[20150081]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000460845200016
出版者ELSEVIER SCIENCE BV
资助机构National Key RD Plan ; Independent Research Project of State Key Laboratory of Resources and Environmental Information Systems, Chinese Academy of Sciences ; Project of Beijing Excellent Talents ; National Postdoctoral International Exchange Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/49181]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shaohua
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
3.Claremont Grad Univ, Claremont, CA USA
4.SuperMap Software Co Ltd, Beijing 100015, Peoples R China
5.Beijing Engn Technol Res Ctr Geog Informat Core S, Beijing 100015, Peoples R China
6.Natl Adm Surveying Mapping & Geoinformat, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Shaohua,Zhong, Yang,Wang, Erqi. An integrated GIS platform architecture for spatiotemporal big data[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2019,94:160-172.
APA Wang, Shaohua,Zhong, Yang,&Wang, Erqi.(2019).An integrated GIS platform architecture for spatiotemporal big data.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,94,160-172.
MLA Wang, Shaohua,et al."An integrated GIS platform architecture for spatiotemporal big data".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 94(2019):160-172.

入库方式： OAI收割

来源：地理科学与资源研究所

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