Web-based spatiotemporal visualization of marine environment data

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院烟台海岸带研究所知识产出

	Web-based spatiotemporal visualization of marine environment data
	He Yawen 1,2,3; Su Fenzhen 1; Du Yunyan 1; Xiao Rulin 1,3
刊名	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
通讯作者	Su, FZ, CAS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
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
文献子类	Article
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.
学科主题	Limnology ; Oceanography
WOS关键词	FRAMEWORK
WOS研究方向	Marine & Freshwater Biology ; Oceanography
语种	英语
WOS记录号	WOS:000281711600018
资助机构	Chinese Academy of Sciences [KZCX1-YW-12-04]; National High Technology Research and Development Program of China [2009AA12Z148, 2007AA092202]
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/3824]
专题	烟台海岸带研究所_中科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
推荐引用方式 GB/T 7714	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.