• DocumentCode
    1829976
  • Title

    Epidemiological Data Analysis in TerraFly Geo-spatial Cloud

  • Author

    Huibo Wang ; Yun Lu ; Yudong Guang ; Edrosa, Erik ; Mingjin Zhang ; Camarca, Raul ; Yesha, Yelena ; Lucic, Tajana ; Rishe, Naphtali

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
  • Volume
    2
  • fYear
    2013
  • fDate
    4-7 Dec. 2013
  • Firstpage
    485
  • Lastpage
    490
  • Abstract
    GIS systems and online services are growing at a very fast pace, however, there are few online services for the analysis of geospatial epidemiology and their functionality is limited. We present a geospatial epidemiology analysis system on the TerraFly Geo-spatial Cloud platform. The system provides comprehensive spatial analysis methods and visualization. In this system, the user is not required to program in order to employ the functionality. All the datasets are stored in the Geo-spatial Cloud. This system is accessible at http://terrafly.fiu.edu/GeoCloud/. The system API algorithms adapted to geospatial epidemiology. The application utilizes the GeoCloud distributed storage system for the Big Data to be analyzed, it utilizes an interactive mapping API to display results.
  • Keywords
    Big Data; application program interfaces; cloud computing; data analysis; data visualisation; epidemics; geographic information systems; medical computing; Big Data analysis; GIS; GeoCloud distributed storage system; TerraFly geo-spatial cloud platform; epidemiological data analysis; geospatial epidemiology analysis system; interactive mapping API; spatial analysis methods; spatial visualization; system API algorithms; Algorithm design and analysis; Cancer; Data visualization; Diseases; Geospatial analysis; Lungs; Spatial databases; Big Data; GIS; geospatial epidemiology; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2013 12th International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • DOI
    10.1109/ICMLA.2013.166
  • Filename
    6786157