• DocumentCode
    2512998
  • Title

    Enabling access to timeseries, geospatial data for on-demand visualization

  • Author

    Pallickara, Sangmi Lee ; Malensek, Matthew ; Pallickara, Shrideep

  • Author_Institution
    Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
  • fYear
    2011
  • fDate
    23-24 Oct. 2011
  • Firstpage
    141
  • Lastpage
    142
  • Abstract
    Data volumes in the geosciences have been increasing substantially over the past decade. This data naturally includes both spatial and chronological information. Fast access to specific portions of large collections of such datasets is a precursor to efficiently visualizing them. Here, we provide an overview of how a geospatial storage system, GALILEO, provides storage of such timeseries data while providing access to specific portions of the dataset.
  • Keywords
    data visualisation; geographic information systems; time series; geospatial data; geospatial storage system; on demand visualization; time series data; Arrays; Data visualization; Distributed databases; Geology; Geospatial analysis; Humidity; Geoscience; distributed geospatial storage; time-series data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Large Data Analysis and Visualization (LDAV), 2011 IEEE Symposium on
  • Conference_Location
    Providence, Rl
  • Print_ISBN
    978-1-4673-0156-5
  • Type

    conf

  • DOI
    10.1109/LDAV.2011.6092339
  • Filename
    6092339