Making the political landscape visible: mapping and analyzing voting patterns in an ideological space
AbstractThis 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 InfoIf 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.
Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.
Volume (Year): 34 (2007)
Issue (Month): 5 (September)
Contact details of provider:
Web page: http://www.pion.co.uk
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- 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.
- Schaltegger, Christoph A. & Somogyi, Frank & Sturm, Jan-Egbert, 2011. "Tax competition and income sorting: Evidence from the Zurich metropolitan area," European Journal of Political Economy, Elsevier, vol. 27(3), pages 455-470, September.
- Christoph A. Schaltegger & Frank Somogyi & Jan-Egbert Sturm, 2009. "Tax Competition and Income Sorting: Evidence from the Zurich Metropolitan Area," CREMA Working Paper Series 2009-25, Center for Research in Economics, Management and the Arts (CREMA).
- Christoph A. Schaltegger & Frank Somogyi & Jan-Egbert Sturm, 2009. "Tax Competition and Income Sorting: Evidence from the Zurich Metropolitan Area," KOF Working papers 09-240, KOF Swiss Economic Institute, ETH Zurich.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond).
If references are entirely missing, you can add them using this form.