• DocumentCode
    255242
  • Title

    BigGIS: How big data can shape next-generation GIS

  • Author

    Peng Yue ; Liangcun Jiang

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The emergence of the “Big Data” concept is changing the way data are managed and analyzed. Traditional GIS software is limited in dealing with big data challenges including versatile data forms, steaming processing, large scale parallel computing, and dynamic mapping and visualization. Significant improvement is needed, which can result in next generation GIS. This paper gives an overview of recent methods in supporting big data management and analysis in geospatial domain. First, it motivates the necessity to develop and use the bigdata-aware GIS software. By reviewing advanced information technologies and approaches, it can assess what operational system framework and approaches are available and applicable in developing bigdata-enabled next-generation GIS - BigGIS. Key considerations for development of BigGIS are highlighted. The results can help identify critical issues and direct future research agenda for next-generation GIS.
  • Keywords
    data analysis; data visualisation; geographic information systems; parallel processing; BigGIS; GIS software; big data concept; component-based GIS; dynamic mapping and visualization; geographical information system; geospatial domain; high performance computing; large scale parallel computing; next-generation GIS; steaming processing; versatile data forms; Big data; Data models; Data visualization; Geospatial analysis; Parallel processing; Sensors; Big Data; GIS; High Performance Computing; NoSQL; Steam Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Agro-geoinformatics (Agro-geoinformatics 2014), Third International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/Agro-Geoinformatics.2014.6910649
  • Filename
    6910649