Original Articles

Research Progress and Connotation of Cloud GIS

  • College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China

Received date: 2011-11-01

  Revised date: 2012-04-01

  Online published: 2012-11-25


Cloud Computing is evolving as a platform of next generation. Its emergence promises to promote new developments in the Geographic Information System (GIS), which is closely related to computer sciences. This paper discusses the characteristics of Cloud Computing, the definition and the key technical and scientific issues of Cloud GIS. Cloud GIS is a new technology that utilizes the large-scale computing power of Cloud infrastructure to overcome the challenges of handling the massive spatial data in the GIS in several aspects, including multi-site distributed data storage, allocation of processing tasks, data query and retrieval, interoperability, virtualization, etc. By improving data processing and data management, Cloud GIS provides high-performance processing technologies to a variety of GIS services, such as data-intensive tasks and computing-intensive tasks. The essential connotations of Cloud GIS are the Cloud characteristics of spatial data and the Cloud Computing characteristics of data management. Cloud GIS goes beyond the“small professional community”of conventional GIS, brings the spatial information services and their values to the public, and in return makes a volutionary breakthrough for GIS itself and greatly expands the scale of the market for its applications. We introduce several CloudGIS platforms, and discuss advantages and disadvantages of the development of Cloud GIS. At the end is an overview of research progress on Cloud GIS in China in three aspects: the trend of technology models of Cloud GIS, the need for its applications, and the need for its education.

Cite this article

LIN Degen, LIANG Qin’ou . Research Progress and Connotation of Cloud GIS[J]. PROGRESS IN GEOGRAPHY, 2012 , 31(11) : 1519 -1528 . DOI: 10.11820/dlkxjz.2012.11.013


[1] 陈述彭. 地理信息系统导论. 北京: 科学出版社, 1999.

[2] 王铮, 丁金宏. 理论地理学概论. 北京: 科学出版社,2000.

[3] Carr N. The Big Switch: Rewiring the World, from Edisonto Google. London: W. W. Norton & Company,2008.

[4] Foster I, Zhao Y, Raicu I, et al. Cloud computing andgrid computing 360-degree compared//Proceedings ofthe 4th Grid Computing Environments Workshop. 2008Grid Computing Environments Workshop (GCE). AustinConvention Center Austin, TX, USA: Institute ofElectrical and Electronics Engineers, 2008: 1-10.

[5] 王铮, 隋文娟, 姚梓璇, 等. 地理计算及其前沿问题. 地理科学进展, 2007, 26(4): 1-10.

[6] 陈彦光, 罗静. 地学计算的研究进展与问题分析. 地理科学进展, 2009, 28(4): 481-488.

[7] Gasster S D, Lee C A, Palko J W. Remote sensinggrids: Architecture and implementation//Plaza A J,Chang C I. High Performance Computing in RemoteSensing. Baltimore County (UMBC), USA: Chapmanand Hall/CRC, 2008: 203-238.

[8] NRC. The Rise of Games and High Performance Computingfor Modeling and Simulation. Washington DC:The National Academies Press, 2010.

[9] Yang C, Wu H, Huang Q, et al. Using spatial principlesto optimize distributed computing for enabling physicalscience discoveries. Proceedings of National Academyof Sciences, 2011, 106(14): 5498-5503.

[10] ESRI China. 聚焦云端[EB/OL]. 2011-04[2011-11].http://www.esrichina-bj.cn/newsletter/jjydnewsletter.html.

[11] 刘鹏. 云计算. 2 版. 北京: 电子工业出版社, 2011.

[12] 张建勋, 古志民, 郑超. 云计算研究进展综述. 计算机应用研究, 2010(2): 429-433.

[13] 李少丹.“云GIS”的发展趋势分析. 电脑知识与技术,2011, 7(16): 3824-3826.

[14] Yang C, Goodchild M, Huang Q, et al. Spatial cloudcomputing: How can the geospatial sciences use andhelp shape cloud computing? International Journal ofDigital Earth, 2011, 4(4): 305-329.

[15] Cidell J. Content clouds as exploratory qualitative dataanalysis. Area, 2010, 42(4): 514-523.

[16] Wang X, Xie J, Li J, et al. Implementation of GIS spatialdata mining based on cloud theory//Sloot P M A.Proceedings of the 2006 International Conference onHybrid Information Technology. Washington, DC,USA: IEEE Computer Society, 2006: 530-534.

[17] 方雷. 基于云计算的土地资源服务高效处理平台关键技术探索与研究[D]. 杭州: 浙江大学, 2011.

[18] 载立乾, 陈娜. 浅议云计算时代下GIS 的发展. 安徽农业科学, 2009, 37(31): 15556-15557.

[19] 马宗晋, 高庆华. 论人口—资源—环境—灾害恶性循环的严重性与减灾工作的新阶段. 自然灾害学报, 1992(1): 12-18.

[20] Smarr J, Catlett C. Metacomputing. Communication ofthe ACM, 1992, 35:44-52.

[21] Chen Q, Wang L, Shang Z. MRGIS: A MapReduce-EnabledHigh Performance Workflow System for GIS.IEEE Fourth International Conference on eScience. Indianapolis,IN, 2008: 646-651.

[22] Rafique M, Butt A, Nikolopoulos D. A capabilities-aware framework for using computational acceleratorsin data-intensive computing. Journal of Paralleland Distributed Computing, 2011, 71(2): 185-197.

[23] 史佩昌, 王怀民, 蒋杰, 等. 面向云计算的网络化平台研究与实现. 计算机工程与科学, 2009, 31(A1): 249-252.

[24] 康俊锋. 云计算环境下高分辨率遥感影像存储与高效管理技术研究[D]. 杭州: 浙江大学, 2011.

[25] 陈全, 邓倩妮. 云计算及其关键技术. 计算机应用,2009, 29(9): 2562-2567.

[26] Bryant R. Data-intensive supercomputing: The case forDISC[D]. Pittsburgh: Carnegie Mellon University,2007.

[27] 赵媛, 赵军. 基于移动GIS 和智能手机的电子导游系统发展及其关键技术. 数字技术与应用, 2011(8): 51-52

[28] 沈毅, 王红. 云技术支持下地理信息系统的发展(一). 市场论坛, 2010(12): 60-62.

[29] 张伟. 基于SaaS 模式的产业集群协同商务平台研究[D]. 广州: 华南理工大学, 2010.

[30] Bill W. The Economics of Cloud Computing: An Over-view For Decision Makers. Indianapolis: Cisco Press,2012.

[31] 吴朱华. 云计算核心技术剖析. 北京: 人民邮电出版社,2011.

[32] Buyya R, Pandey S, Vecchiola S. Cloudbus toolkit formarket-oriented cloud computing. Proceeding Cloud-Com '09 Proceedings of the 1st International Conferenceon Cloud Computing. Berlin, Heidelberg: Springer-Verlag, 2009: 24-44.

[33] Maston S, Li Z, Bandyopadhyay S, et al. Cloud computing:The business perspective. Decision Support Systems,2011, 51(1): 176-189.

[34] Openshaw S, Abrahart R J. GeoComputation. NewYork: Taylor & Francis, 2000.