Advanced Search
MyIDEAS: Login to save this article or follow this journal

Making the political landscape visible: mapping and analyzing voting patterns in an ideological space

Contents:

Author Info

  • Heinrich Leuthold
  • Michael Hermann
  • Sara Irina Fabrikant
Registered author(s):

    Abstract

    This paper investigates the applicability of knowledge domain mapping for analyzing political science data. Utilizing metaphorical-space models grounded on political science theory, and applying sound cartographic visualization techniques, we demonstrate the construction and analysis of knowledge domain maps for exploring voting behaviour in Switzerland. We digitally transformed the results of Swiss popular referenda of the last twenty years to generate a 3-dimensional semantic space representing the current political landscape of Switzerland. The whole country is depicted in this semantic political space at various spatial scales. Locations in this spatialization represent aggregated voting outcomes from cities, regions, and provinces. Special attention was given to the interpretation of the resulting spatial configuration. This includes the assignment of meaning to the axes of the 3D space, depicted in two dimensions. Armed with political science theory locations in the voting behaviour space can be analyzed and the resulting political pattern can be interpreted meaningfully. The spatialized views were disseminated to the public after recent Swiss elections. The initial feedback from domain specialists and decision-makers alike has been very encouraging. Measured by high number of substantive reactions and wide-spread feedback on these spatializations of voting behaviour one could deduce that these abstract views were readily accepted and understood by public administrators, political party leaders, and the politically interested public. Based on these experiences we conclude the paper with a first attempt at identifying design recommendation for spatializing multidimensional political datasets.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.envplan.com/abstract.cgi?id=b3304t
    File Function: abstract
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

    File URL: http://www.envplan.com/epb/fulltext/b34/b3304t.pdf
    File Function: main text
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.

    Volume (Year): 34 (2007)
    Issue (Month): 5 (September)
    Pages: 785-807

    as in new window
    Handle: RePEc:pio:envirb:v:34:y:2007:i:5:p:785-807

    Contact details of provider:
    Web page: http://www.pion.co.uk

    Related research

    Keywords:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Christoph A. Schaltegger & Frank Somogyi & Jan-Egbert Sturm, 2009. "Tax Competition and Income Sorting: Evidence from the Zurich Metropolitan Area," CESifo Working Paper Series 2824, CESifo Group Munich.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:pio:envirb:v:34:y:2007:i:5:p:785-807. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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