• DocumentCode
    2710162
  • Title

    An exploratory framework for studying movement pattern

  • Author

    Liu, Yin

  • Author_Institution
    Geoda Center for Geospatial Anal. & Comput., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a new exploratory framework to identify and estimate the local characteristics associated with the distribution of the distances and the directions for the movements. The focus of attention is paid to hundreds and thousands individual records of movement. Traditional methods were either unable to handle the vast data or limited to search the global “law”. As an initial work, the framework focuses on the origin-destination form of movements, which is parallel to a vector composed by distance and direction. The analysis is working on the distribution of such two elements, with the stressing on how the distribution is differentiated over space. By stressing the local variation, it quantitatively estimates the difference between the patterns for global data and for local data.
  • Keywords
    data analysis; geophysical techniques; exploratory spatial data analysis; movement pattern; residential movement; Data analysis; Data visualization; Histograms; Spatial databases; Standardization; Statistical analysis; Testing; distance and direction; exploratory spatial data analysis (ESDA); local characteristics; movement pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980921
  • Filename
    5980921