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A Real-Time 3D Visualization Framework for Multimedia Data Management, Simulation, and Prediction: Case Study in Geospatial-Temporal Biomedical Disease Surveillance Networks

Author

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  • Nathaniel Rossol

    (University of Alberta, Canada)

  • Irene Cheng

    (University of Alberta, Canada)

  • Iqbal Jamal

    (AQL Management Consulting Inc., Canada)

  • John Berezowski

    (Food Safety and Animal Health Division, Government of Alberta, Canada)

  • Anup Basu

    (University of Alberta, Canada)

Abstract

Geographic Information Systems (GISs), which map spatiotemporal event data on geographical maps, have proven to be useful in many applications. Time-based Geographic Information Systems (GISs) allow practitioners to visualize collected data in an intuitive way. However, while current GIS systems have proven to be useful in post hoc analysis and provide simple two-dimensional geographic visualizations, their design typically lacks the features necessary for highly targeted real-time surveillance with the goal of spread prevention. This paper outlines the design, implementation, and usage of a 3D framework for real-time geospatial temporal visualization. In this case study, using livestock movements, the authors show that the framework is capable of tracking and simulating the spread of epidemic diseases. Although the application discussed in this paper relates to livestock disease, the proposed framework can be used to manage and visualize other types of high-dimensional multimedia data as well.

Suggested Citation

  • Nathaniel Rossol & Irene Cheng & Iqbal Jamal & John Berezowski & Anup Basu, 2011. "A Real-Time 3D Visualization Framework for Multimedia Data Management, Simulation, and Prediction: Case Study in Geospatial-Temporal Biomedical Disease Surveillance Networks," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 2(2), pages 1-18, April.
    • Handle: RePEc:igg:jmdem0:v:2:y:2011:i:2:p:1-18
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