Web-based spatiotemporal visualization of marine environment data

Yawen He; Fenzhen Su; Yunyan Du; Rulin Xiao

doi:10.1007/s00343-010-0029-8

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Web-based spatiotemporal visualization of marine environment data

OriginalPaper | Updated：2023-05-16

- Web-based spatiotemporal visualization of marine environment data
- Web-based spatiotemporal visualization of marine environment data
- 海洋湖沼学报（英文） 2010年28卷第5期页码：1086-1094
- Affiliations：
  
  1. Institute of Geographic Sciences and Natural Resources Research CAS
  2. Yantai Institute of Coastal Zone Research CAS
  3. Graduate School of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (No. KZCX1-YW-12-04), the National High Technology Research and Development Program of China (863 Program) (Nos. 2009AA12Z148, 2007AA092202)
- DOI：10.1007/s00343-010-0029-8
  中图分类号：
- 网络首发：2010-09-11，
  
  纸质出版：2010
- Accepted：
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Web-based spatiotemporal visualization of marine environment data[J]. 海洋湖沼学报（英文）, 2010,28(5):1086-1094.

He, Y., Su, F., Du, Y. et al. Web-based spatiotemporal visualization of marine environment data., Chin. J. Ocean. Limnol. 28, 1086–1094 (2010). https://doi.org/10.1007/s00343-010-0029-8
Web-based spatiotemporal visualization of marine environment data[J]. 海洋湖沼学报（英文）, 2010,28(5):1086-1094. DOI： 10.1007/s00343-010-0029-8.

He, Y., Su, F., Du, Y. et al. Web-based spatiotemporal visualization of marine environment data., Chin. J. Ocean. Limnol. 28, 1086–1094 (2010). https://doi.org/10.1007/s00343-010-0029-8 DOI：

摘要

Abstract

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.

关键词

Keywords

references

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