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International Conference on Artificial Reality and Telexistence

ICAT 2006: Advances in Artificial Reality and Tele-Existence pp 344–353Cite as

Study on Data Collaboration Service for Collaborative Virtual Geographic Environment

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4282))

Abstract

The use of Collaborative Virtual Geographic Environments (CVGE) is one of the most promising uses of virtual reality in geographic field. Data collaboration can support multi-directional sharing of data and files, allowing ideas and thoughts to be communicated interactively among users. Thus how to integrate diverse and separated data and offer more convenient and intuitive data collaboration service becomes increasingly significant for implementing collaborative work in the CVGE. In this paper, we firstly design a Grid-based CVGE service framework and discuss the data searching mechanism and accessing control. A data collaboration service was built to integrate and share system internal resources and improve collaboration work efficiency. Finally, we built a collaborative virtual environment and implemented data collaboration service in silt dams system planning on a case study area, Jiu-Yuan-Gou watershed of Loess Plateau, China. Experiment results prove that the scheme addressed in the paper is efficient and feasible.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100101, P.R. China

    Jun Zhu & Jianhua Gong

  2. Key Laboratory of Poyang Lake Ecological Environment and Resource Development, Ministry of Education, P.R. China

    Jun Zhu

  3. Surveying Engineering Department, Southwest Jiaotong University, 610031, P.R. China

    Hua Qi

  4. GIS Lab, Department of Geoinformatic Engineering, Inha University, Yonghyundong 253, Namgu, Inchon, 402-751, South Korea

    Tao Song

Authors
  1. Jun Zhu
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  2. Jianhua Gong
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  3. Hua Qi
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  4. Tao Song
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD and CG, Zhejiang University, Hangzhou, P.R. China

    Zhigeng Pan

  2. Mixed Reality Lab, National University of Singapore, Singapore

    Adrian Cheok

  3. Upper Austria University of Applied Science and Digital Media, Hagenberg, Austria

    Michael Haller

  4. Department of Computer Science, University of Durham, South Road, DH1 3LE, Durham, UK

    Rynson W. H. Lau

  5. Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi Kohoku-ku, 223-8522, Yokohama, Japan

    Hideo Saito

  6. College of Information Engineering, Zhejiang University of Technology, 310032, Hangzhou, P.R. China

    Ronghua Liang

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhu, J., Gong, J., Qi, H., Song, T. (2006). Study on Data Collaboration Service for Collaborative Virtual Geographic Environment. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_35

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  • DOI: https://doi.org/10.1007/11941354_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49776-9

  • Online ISBN: 978-3-540-49779-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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