• DocumentCode
    2713764
  • Title

    The Warn Notice Toolbox: Open-source geovisualization of large layoff events data

  • Author

    Ye, Xinyue ; Carroll, Michael C.

  • Author_Institution
    Dept. of Econ., Bowling Green State Univ., Bowling Green, OH, USA
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Developed using the Python object-oriented scripting language, Warn Notice Toolbox is an open-source package designed for the exploratory visualization of unemployment events recorded by the PDF files of warn-notices. The goal is the visual representation of large-scale collections of both non-numerical and numerical information in a GIS environment. This article presents an outline of the design and structure of Warn Notice Toolbox, its implementation, functionality, and future plans. A group of its visualization capabilities are also illustrated, which highlight the power and flexibility of the toolbox through a case study of downloaded WARN Notices from 1996 to 2010. These notices are provided by employers to the Ohio Department of Job and Family Services, Bureau of WIA, Rapid Response Section. This toolbox demonstrates its potentials by identifying the patterns and trends of economic downturn in Ohio.
  • Keywords
    authoring languages; data visualisation; document handling; economic cycles; geographic information systems; object-oriented languages; public domain software; software packages; unemployment; Bureau of WIA; Ohio department of job and family services; PDF files; Python object-oriented scripting language; Warn notice toolbox; economic downturn; layoff events; open-source geo visualization; rapid response section; unemployment events; visual representation; Communities; Data visualization; Economics; Geographic Information Systems; Geography; Shape; Unemployment; Geographic Information System (GIS); WARN act; geovisualization; open source;
  • 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.2011.5981136
  • Filename
    5981136