• DocumentCode
    2225197
  • Title

    Epidemic analysis and visualization based on Digital Earth spatio-temporal framework

  • Author

    Weng, Jingnong ; Xu, Yunfei ; Sharma, Ananta Raj

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7220
  • Lastpage
    7223
  • Abstract
    Digital Earth provides an excellent means for the visualization and analysis of the epidemic data. Currently the most of the epidemic data analysis is done only based on the data attributes such as number of victims, time of occurrence, type or intensity of the epidemic, etc. Most of the visualization of the epidemic is done merely using maps. Visualization of the place of occurrence or hot spot is one of the major factors in the analysis of the epidemic data which seems to be lacking in the current research projects. So, we have introduced a China Star Epidemic data visualization and analysis tool which can do comprehensive and thorough analysis and visualization of epidemic data. The tool integrates most of the attributes of the epidemic data into one single solid system. As a case study, we have used a real disease data of Shenzhen, China for this research. It is demonstrated that Digital Earth can be an excellent platform for the visualization of the changing pattern of epidemic data both in space and time dimension. The developed prototype also represents a tool to implement a concept of `Thinking Spatially´ in 3D dimension especially in epidemic data analysis and visualization domain.
  • Keywords
    data analysis; data visualisation; epidemics; geographic information systems; geophysics computing; medical computing; China Star Epidemic data visualization and analysis tool; Shenzhen; digital earth spatiotemporal framework; epidemic data analysis; epidemic data visualization; epidemic hot spot; Data analysis; Data visualization; Diseases; Earth; Prototypes; Remote sensing; Spatial databases; China Star; digital earth; epidemic data visualization; spatial and temporal analysis; thinking spatially;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351996
  • Filename
    6351996