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Automated Generation of Enhanced Virtual Environments for Collaborative Decision Making Via a Live Link to GIS

  • Tao Chen
  • Christian Stock
  • Ian Bishop
  • Christopher Pettit
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

Decision making in environmental planning and sustainable development relies on a comprehensive understanding of current scenarios and envisioning of possible future changes. With rapidly increasing computing power and graphic display capabilities, virtual environments have proven to be a powerful medium for visualising spatial information and sharing experiences about exploring a common virtual study area with other participants. The integration of virtual-environment technology and decision-making practices will allows for enhanced understanding of the real environment and its associated dynamic natural processes, hence providing an opportunity for greater involvement in community decision making. This chapter will illustrate our approach to rapidly generating an enhanced and dynamic virtual environment in real time through a live linkage as part of our visualisation package SIEVE (Spatial Information Exploration and Visualisation Environment). The live link (SIEVE Direct) provides a network link between a game engine and a geographic information system (GIS) in order to help communities envision landscape scenario changes and evaluate the decisions made in conjunction with the selected scenarios. The performance of this solution has been examined in a particular case study area of the Toolibin catchment in Western Australia.

Keywords

Virtual Environment Automate Generation Spatial Data Infrastructure Planning Support System Landscape Scenario 
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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References

  1. Chen T, Stock C, Bishop ID, O’Connor A (2006) Prototyping an in-field collaborative environment for landscape decision support by linking GIS with a game engine. Paper presented at the 14th International Conference on Geoinformatics, 28–29 October 2006, Wuhan, ChinaGoogle Scholar
  2. De Reffye P, Edelin C, Francon J, Jaeger M, Puech C (1988) Plant models faithful to botanical structure and development. Computer Graphics 22:151–158CrossRefGoogle Scholar
  3. Döllner JKH (2000) An object-oriented approach for integrating 3D visualisation systems and GIS. Computers and Geosciences (26):67–76Google Scholar
  4. George RJ, Beasley R, Gordon I, Heislers D, Speed R, Brodie R, McConnell C, Woodegate P (1998) Evaluation of airborne geophysics for catchment management for agriculture, fisheries and forestry – Australia and the National Dryland Salinity Program. The National Airborne Geophysics Project, Land and Water Australia, CanberraGoogle Scholar
  5. Hearn SJ (1988) Soil conservation and management strategies for the Toolibin catchment. Resource Management Technical Report No.75. Department of Agriculture and Food, Western AustraliaGoogle Scholar
  6. Herwig A, Kretzler E, Paar P (2005) using games software for interactive landscape visualisation. In: Bishop ID, Lange E (eds.) Visualisation in landscape and environmental planning: technology and applications. Taylor & Francis, London, pp 62–67Google Scholar
  7. Kwartler M, Bernard RN (2001) CommunityViz: an integrated planning support system. In: Brail RK, Klosterman RE (eds) Planning support systems: integrating geographic information systems and visualisation tools. ESRI Press, Redlands, California, pp 285–308Google Scholar
  8. Lovett A, Kennaway J, Sünnenberg G, Cobb D, Dolman P, O’Riordan T, Arnold D (2002) Visualising sustainable agricultural landscapes. In: Fisher P, Unwin D (eds) Virtual reality in geography. Taylor & Francis, London, pp 102–130Google Scholar
  9. MacEachren AM, Edsall R, Haug D, Baxter R, Otto G, Masters R, Fuhrmann S, Qian L (1999) Virtual environments for geographic visualisation: potential and challenges. In: Proceedings of the 8th International Conference on Information and Knowledge Management, Association for Computing Machinery, 2–6 November 1999, Kansas City, MissouriGoogle Scholar
  10. Myklestad E, Wagar JA (1977) PREVIEW: computer assistance for visual management of forested landscapes. Landscape Planning 4:313–331CrossRefGoogle Scholar
  11. O’Connor A, Bishop ID, Stock C (2005) 3D visualisation of spatial information and environmental process model outputs for collaborative data exploration. In: Proceedings of the 9th International Conference on Information Visualisation (IV’05), 6–8 July 2005, GreenwichGoogle Scholar
  12. Orland B (1997) Smart Forest-II: forest visual modeling for forest pest management and planning. Retrieved 4 August 2006, from http://www.imlab.psu.edu/smartforestGoogle Scholar
  13. Orland B, Radja P, Su W (1994) Smart Forest: an interactive forest data modelling and visualisation tool. In: Proceedings of the Fifth Forest Service Remote Sensing Applications Conference, 11 April 1994, Salt Lake City, Utah, pp 283–292Google Scholar
  14. Paar P, Rekittke J (2005) Lenné3D – walk through visualisation of planned landscapes. In: Bishop ID, Lange E (eds) Visualisation in landscape and environmental planning: technology and applications. Taylor & Francis, London, pp 152–162Google Scholar
  15. Perrin L, Beauvais N, Puppo M (2001) Procedural landscape modeling with geographic information: the IMAGIS approach. Landscape and Urban Planning 54:33–47CrossRefGoogle Scholar
  16. Pettit C (2006) Visualisation techniques for envisioning landscape futures. ISPRS II/5 Workshop, 8 July 2006, Institute for Geography and Regional Research, University of ViennaGoogle Scholar
  17. Rheingans P (2002) Are we there yet? Exploring with dynamic visualisation. Institute of Electrical and Electronic Engineers Computer Graphics and Applications 22(1):6–10CrossRefGoogle Scholar
  18. Stock C, Bishop ID (2005) Helping rural communities envision their future. In: Bishop ID, Lange E (eds) Visualisation in landscape and environmental planning: technology and applications. Taylor & Francis, London, pp 145–151Google Scholar
  19. TGE (2007) Torque Game Engine online user documentation and technical forums. Retrieved 20 August 2007, from http://www.garagegames.comGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tao Chen
    • 1
  • Christian Stock
    • 2
  • Ian Bishop
    • 1
  • Christopher Pettit
    • 3
  1. 1.Department of GeomaticsUniversity of MelbourneVictoriaAustralia
  2. 2.Cooperative Research Centre for Spatial InformationCarltonAustralia
  3. 3.Department of Primary IndustriesParkville CentreVictoriaAustralia

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