IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v19y1987i2p225-246.html
   My bibliography  Save this article

Analysing Spatial Time Series of Local Unemployment: A Graphical Approach Using Principal Components Analysis and Seasonal Adjustment Procedures

Author

Listed:
  • R Dunn

    (Department of Geography, University of Bristol, Bristol, BS8 1SS, England)

Abstract

In this paper, the potential of principal components analysis to analyse spatial time series of local unemployment is discussed. A seasonal adjustment procedure is also used which allows trend, seasonal, and irregular subcomponents of the unemployment series to be identified and analysed separately. It is argued that such an approach may provide important insights into the functioning of the regional space economy. Empirical results are presented from a study of local unemployment in the Severnside region. Throughout the paper emphasis is placed on graphical displays and summaries.

Suggested Citation

  • R Dunn, 1987. "Analysing Spatial Time Series of Local Unemployment: A Graphical Approach Using Principal Components Analysis and Seasonal Adjustment Procedures," Environment and Planning A, , vol. 19(2), pages 225-246, February.
  • Handle: RePEc:sae:envira:v:19:y:1987:i:2:p:225-246
    DOI: 10.1068/a190225
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a190225
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a190225?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:19:y:1987:i:2:p:225-246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.