IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v2y2000i1d10.1007_s101090050032.html
   My bibliography  Save this article

Context-dependent spatial analysis: A role for GIS?

Author

Listed:
  • A. Stewart Fotheringham

    (Department of Geography, University of Newcastle, Newcastle-upon-Tyne NE1 7RU, United Kingdom (e-mail: Stewart.Fotheringham@ncl.ac.uk))

Abstract

. The relationship between spatial analysis and GIS has been a debating point for over a decade. Some see GIS as leading the way to a new era in which the desire and the ability to analyse spatial data is widespread, not just in geography but throughout all disciplines in which spatial data are encountered. Others see GIS as simply providing a medium for the recycling of out-dated spatial analytical techniques and models. This paper describes a role for GIS through the development of new forms of ‘local’ or ‘context-dependent’ spatial analytical methods in which the focus is on exceptions to the general trend represented by the more traditional ‘global’ methods.

Suggested Citation

  • A. Stewart Fotheringham, 2000. "Context-dependent spatial analysis: A role for GIS?," Journal of Geographical Systems, Springer, vol. 2(1), pages 71-76, March.
    • Handle: RePEc:kap:jgeosy:v:2:y:2000:i:1:d:10.1007_s101090050032
    DOI: 10.1007/s101090050032
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s101090050032
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s101090050032?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cho, Seong-Hoon & Kim, Seung Gyu & Clark, Christopher D. & Park, William M., 2007. "Spatial Analysis of Rural Economic Development Using a Locally Weighted Regression Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), pages 1-15, April.

    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:kap:jgeosy:v:2:y:2000:i:1:d:10.1007_s101090050032. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.