Spatial Analysis in Political Research
Spatial Analysis has attracted great interest in the international research community and has become a versatile tool to better investigate the relationship between social, political, economic and geographical factors.
Spatial methods consider and use the topological, geometric and geographic properties of the investigated variables to improve prediction or better explain the occurrence of patterns and variables in relation to their location. They are suitable to improve our understanding of many policy and governance related topics depending on location and access. Using information about the exact location of cases, actors, consumers or households many unsolved social, economic and political research questions can be re-evaluated and better understood.
SPP is calling for contributions related to Spatial Analysis with a political, economic or social focus and encourages researchers in related disciplines to submit their papers for this call of papers to the special issue Vol.1 2020.
Topics of interest
Submissions might cover a wide range of spatial research methods, e.g. geographically weighted regression or gravity models - and can investigate or evaluate the performance of various different methods in comparison.
All research related works are welcome. Please note that contribution length is flexible allowing contributions of 10 to 25 pages (including references, not exceeding 12.000 words in total). Contributions with new and innovative approaches are highly encouraged.
Submissions are due on 31.03.2020
All manuscripts should be submitted to our official SPP online center: http://mc.manuscriptcentral.com/dgspp and should have appropriate formatting to be considered ready for peer-reviewing and publication.
For author guidelines and further information on Statistics, Politics and Policy visit the website: https://www.degruyter.com/view/j/spp.
You may also contact the Editor-in-Chief Uwe Wagschal (uwe.wagschalpolitik.uni-freiburgde) with questions. Manuscripts will be subject to a double-blind peer-review process. Accepted papers will be published in Statistics, Politics and Policy in mid-2020.