A Journal of Applied Research in Contemporary Politics
Ed. by Disalvo, Daniel / Stonecash, Jeffrey
4 Issues per year
IMPACT FACTOR 2017: 0.536
CiteScore 2017: 0.48
SCImago Journal Rank (SJR) 2017: 0.265
Source Normalized Impact per Paper (SNIP) 2017: 0.723
This paper investigates patterns of geographic clustering in the county vote for the presidential elections of 2004 and 2008. Using local indicators of spatial association (LISA), the statistically significant areas of Democratic and Republican support are identified for both elections, thereby uncovering major sources of spatial autocorrelation in recent presidential voting. Most interestingly, the change in the presidential vote from 2004 to 2008 appears to be significantly more spatially dependent than the raw vote itself, suggesting that the so-called "Obama Effect" also exhibits a high degree of geographic clustering.
Here you can find all Crossref-listed publications in which this article is cited. If you would like to receive automatic email messages as soon as this article is cited in other publications, simply activate the “Citation Alert” on the top of this page.