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Nowadays, we are facing an enormous amount of data which are being produced by different systems. These must be effectively stored and visualized in order to enable their proper interpretation. In our research, we attempted to use circular data visualization applied on the Tour de France cycling race. Since this competition has over 100 years of history, a variety of data is available. Using the chord diagrams we tried to illustrate the long-term development of this race, with an emphasis on its spatial and sport aspects. Spatial dimension is characterised by the large number of stages and mountain climbs in such locations which altogether enhance the meaning of this major sporting event, while sport aspects aim to capture the significant personages on the scorecard. Circular visualization has found its application in many disciplines (genetics, demography, medicine, etc.). In our contribution, we point out its importance also in the visualization of the historical milestones of the most important multi-stage cycling event in the world.
This study is devoted to socio-spatial polarisation with regard to the rural environment in Slovakia. In fact, ongoing polarisation processes do not take place only in the rural-urban continuum, but within every single category as well. This is evident especially in the rural environment, which has begun to change significantly in terms of its structure and to diversify to a greater extent. As a result, some parts of the countryside began to stagnate and decline gradually. These parts of the rural environment can thus be referred to as marginal, peripheral. With respect to the proclaimed diversity of the rural environment, this study focuses on selected rural structures, namely mountain areas, the borderland, and the area at the intersection of those two structures. Generally, these parts of the rural environment are often confronted with the phenomenon of marginality and peripherality, and because of the given local predisposition are even more vulnerable to its manifestations. Taking into account the dynamism and multidimensional character of this phenomenon, we can further assume that its manifestation changes in time and space. With the use of ANOVA, we examine a set of selected indicators of socio-spatial polarisation and verify whether and to what extent this dynamism depends on the character of diversified rural structures.
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