<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The differences in welfare amongst European countries are especially evident in border regions, and this affects cross-border cooperation and relationships. Due to the historical development of Central and Eastern European countries over the last century, the affected countries are unique “laboratories” for geographical research. This study assesses disparities in socio-economic indicators representing socio-economic phenomena in the Czech-Polish border region, through the analysis of cross-border (spatial) continuity, using quantitative methods (multivariate statistics and socio-economic profiling), GIS analysis and cartographic visualisation. It is demonstrated how such a combination of methods is useful for the comparison and evaluation of the complex socio-economic situations in neighbouring countries. This research project identifies the most suitable common indicators for a proper evaluation of cross-border (spatial) continuity, and it reveals the spatial patterns as reflected by a cluster analysis. The greatest cross-border (spatial) continuity is apparent in the easternmost part of the borderlands, while significant differences on both sides of the border are evident in the very central part of the areas under study. The paper also describes methodological aspects of the research in order to provide a quantitative approach to borderland studies.</p></abstract>

The differences in welfare amongst European countries are especially evident in border regions, and this affects cross-border cooperation and relationships. Due to the historical development of Central and Eastern European countries over the last century, the affected countries are unique “laboratories” for geographical research. This study assesses disparities in socio-economic indicators representing socio-economic phenomena in the Czech-Polish border region, through the analysis of cross-border (spatial) continuity, using quantitative methods (multivariate statistics and socio-economic profiling), GIS analysis and cartographic visualisation. It is demonstrated how such a combination of methods is useful for the comparison and evaluation of the complex socio-economic situations in neighbouring countries. This research project identifies the most suitable common indicators for a proper evaluation of cross-border (spatial) continuity, and it reveals the spatial patterns as reflected by a cluster analysis. The greatest cross-border (spatial) continuity is apparent in the easternmost part of the borderlands, while significant differences on both sides of the border are evident in the very central part of the areas under study. The paper also describes methodological aspects of the research in order to provide a quantitative approach to borderland studies.

Capturing cross-border continuity: The case of the Czech-Polish borderland

Department of Informatics and Applied Mathematics

Department of Development and Environmental Studies

Moravian Geographical Reports

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Capturing cross-border continuity: The case of the Czech-Polish borderland"}

The differences in welfare amongst European countries are especially evident in border regions, and this affects cross-border cooperation and relationships....

Capturing cross-border continuity: The case of the Czech-Polish borderland

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 122 - 138

Eingereicht: 16. Jan. 2019

Akzeptiert: 13. Juni 2019

DOI: https://doi.org/10.2478/mgr-2019-0010

Schlüsselwörter
GIScience, socio-economic data, profiling, clustering, border regions, Poland, Czech Republic

© 2019 Vít Pászto et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Capturing cross-border continuity: The case of the Czech-Polish borderland

Online veröffentlicht: 09. Juli 2019

Seitenbereich: 122 - 138

Eingereicht: 16. Jan. 2019

Akzeptiert: 13. Juni 2019

DOI: https://doi.org/10.2478/mgr-2019-0010

SchlüsselwörterGIScience, socio-economic data, profiling, clustering, border regions, Poland, Czech Republic

© 2019 Vít Pászto et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
GIScience, socio-economic data, profiling, clustering, border regions, Poland, Czech Republic