• DocumentCode
    1999612
  • Title

    Spatial-temporal data analysis with spacetime algebra: A case study with satellite altimetry data

  • Author

    Luo, Wen ; Yuan, Linwang ; Wu, Minjie ; Yu, Zhaoyuan

  • Author_Institution
    Geogr. Sci. Sch., Nanjing Normal Univ., Nanjing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Modeling dynamics of complex geographical phenomena is of lots of difficulties in current GIS system. In this paper, Spacetime algebra, a powerful algebra system in expression and analysis of the unified spacetime, is introduced in modeling the dynamics of geographical objects. The basic structure of spacetime algebra and its design schemes are discussed. Case application with satellite altimetry data is also presented. Result suggests that temporal and spatial evolution characteristics of Equatorial Pacific sea level can be extracted by changing the rotation angle and boost ratio. The constructed spatial and temporal projection and statistical parameters suggest that our solution can compare well with ENSO event, which suggests that spacetime algebra can be seen as a powerful tool and a potential way of modeling dynamic changes in GIS.
  • Keywords
    algebra; data analysis; geographic information systems; height measurement; ENSO event; GIS system; equatorial pacific sea level; geographical objects; powerful algebra system; satellite altimetry data; spacetime algebra; spatial evolution characteristics; spatial-temporal data analysis; statistical parameter; temporal evolution characteristics; Algebra; Data models; Equations; Geographic Information Systems; Mathematical model; Rotors; Sea level; Multidimensional Spatial-Temporal Data Analysis; Spacetime Algebra; Spatial-Temporal Information Matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567880
  • Filename
    5567880