Web-based spatiotemporal visualization of marine environment data
He Yawen1,2,3; Su Fenzhen1; Du Yunyan1; Xiao Rulin1,3
发表期刊CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
2010-09-01
卷号28期号:5页码:1086-1094
关键词Marine Environmental Data Web Services Marine Information Grid Spatio-temporal Visualization Process-oriented Integration
产权排序[He Yawen; Su Fenzhen; Du Yunyan; Xiao Rulin] CAS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [He Yawen] CAS, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [He Yawen; Xiao Rulin] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
通讯作者Su, FZ, CAS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
英文摘要With long-term marine surveys and research, and especially with the development of new marine environment monitoring technologies, prodigious amounts of complex marine environmental data are generated, and continuously increase rapidly. Features of these data include massive volume, widespread distribution, multiple-sources, heterogeneous, multi-dimensional and dynamic in structure and time. The present study recommends an integrative visualization solution for these data, to enhance the visual display of data and data archives, and to develop a joint use of these data distributed among different organizations or communities. This study also analyses the web services technologies and defines the concept of the marine information gird, then focuses on the spatiotemporal visualization method and proposes a process-oriented spatiotemporal visualization method. We discuss how marine environmental data can be organized based on the spatiotemporal visualization method, and how organized data are represented for use with web services and stored in a reusable fashion. In addition, we provide an original visualization architecture that is integrative and based on the explored technologies. In the end, we propose a prototype system of marine environmental data of the South China Sea for visualizations of Argo floats, sea surface temperature fields, sea current fields, salinity, in-situ investigation data, and ocean stations. An integration visualization architecture is illustrated on the prototype system, which highlights the process-oriented temporal visualization method and demonstrates the benefit of the architecture and the methods described in this study.; With long-term marine surveys and research, and especially with the development of new marine environment monitoring technologies, prodigious amounts of complex marine environmental data are generated, and continuously increase rapidly. Features of these data include massive volume, widespread distribution, multiple-sources, heterogeneous, multi-dimensional and dynamic in structure and time. The present study recommends an integrative visualization solution for these data, to enhance the visual display of data and data archives, and to develop a joint use of these data distributed among different organizations or communities. This study also analyses the web services technologies and defines the concept of the marine information gird, then focuses on the spatiotemporal visualization method and proposes a process-oriented spatiotemporal visualization method. We discuss how marine environmental data can be organized based on the spatiotemporal visualization method, and how organized data are represented for use with web services and stored in a reusable fashion. In addition, we provide an original visualization architecture that is integrative and based on the explored technologies. In the end, we propose a prototype system of marine environmental data of the South China Sea for visualizations of Argo floats, sea surface temperature fields, sea current fields, salinity, in-situ investigation data, and ocean stations. An integration visualization architecture is illustrated on the prototype system, which highlights the process-oriented temporal visualization method and demonstrates the benefit of the architecture and the methods described in this study.
文章类型Article
资助机构Chinese Academy of Sciences [KZCX1-YW-12-04]; National High Technology Research and Development Program of China [2009AA12Z148, 2007AA092202]
收录类别SCI
语种英语
关键词[WOS]FRAMEWORK
研究领域[WOS]Marine & Freshwater Biology ; Oceanography
WOS记录号WOS:000281711600018
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/3823
专题中国科学院烟台海岸带研究所知识产出
作者单位1.CAS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.CAS, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
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He Yawen,Su Fenzhen,Du Yunyan,et al. Web-based spatiotemporal visualization of marine environment data[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2010,28(5):1086-1094.
APA He Yawen,Su Fenzhen,Du Yunyan,&Xiao Rulin.(2010).Web-based spatiotemporal visualization of marine environment data.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,28(5),1086-1094.
MLA He Yawen,et al."Web-based spatiotemporal visualization of marine environment data".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 28.5(2010):1086-1094.
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