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Examining voter turnout using multiscale geographically weighted regression: The case of Slovakia Cover

Examining voter turnout using multiscale geographically weighted regression: The case of Slovakia

Moravian Geographical Reports
Volume 31 (2023): Issue 3 (September 2023)
By: Dominik Kevický and  Jonáš Suchánek  
Open Access
|Oct 2023

Authors

Dominik Kevický

kevicky.dominik@mail.muni.cz

Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic

Jonáš Suchánek

Department of Social Geography and Regional Development, Faculty of Science, Charles University, Prague, Czech Republic
DOI: https://doi.org/10.2478/mgr-2023-0014 | Journal eISSN: 2199-6202 | Journal ISSN: 1210-8812
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Language: English
Page range: 153 - 164
Submitted on: May 4, 2023
|
Accepted on: Sep 5, 2023
|
Published on: Oct 6, 2023
Published by: Czech Academy of Sciences, Institute of Geonics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
voter turnout,
parliamentary elections,
theories of voter turnout,
multiscale geographically weighted regression,
left behind places,
Slovakia
Related subjects:
Business and economics,
Business management,
Industries,
Environmental management,
Geosciences,
Geography

© 2023 Dominik Kevický, Jonáš Suchánek, published by Czech Academy of Sciences, Institute of Geonics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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