Study on Data Collaboration Service for Collaborative Virtual Geographic Environment

  • Jun Zhu
  • Jianhua Gong
  • Hua Qi
  • Tao Song
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4282)


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.


Loess Plateau Grid Service Spatial Decision Support System Collaborative Virtual Environment Open Grid Service Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jun Zhu
    • 1
    • 2
  • Jianhua Gong
    • 1
  • Hua Qi
    • 3
  • Tao Song
    • 4
  1. 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing ApplicationsChinese Academy of SciencesBeijingP.R. China
  2. 2.Key Laboratory of Poyang Lake Ecological Environment and Resource Development, Ministry of EducationP.R. China
  3. 3.Surveying Engineering DepartmentSouthwest Jiaotong UniversityP.R. China
  4. 4.GIS Lab, Department of Geoinformatic EngineeringInha UniversityInchonSouth Korea

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