An integrated GIS platform architecture for spatiotemporal big data

被引：45
|
作者：
Wang, Shaohua [1 ,2 ]
Zhong, Yang [3 ]
Wang, Erqi [4 ,5 ,6 ]
机构：
[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
来源：
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 94卷
关键词：
Spatiotemporal big data; Distributed computing framework; Cloud-terminal integration GIS; SuperMap GIS;
D O I：
10.1016/j.future.2018.10.034
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
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.
引用
收藏
页码：160 / 172
页数：13
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