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The Electorate in Poland's Large and Medium-Sized cities and Towns and its Influence on the Results of the 2007 Parliamentary Elections

100%

Matykowski R.

Bulletin of Geography. Socio-economic Series

2010

tom 13

nr 13

103-111

Urbanization is regarded among the most significant factors affecting election-related behaviour in Poland. In order to identify the importance of Poland's municipal electorate, a procedure of reverse elimination was applied to the electorates of successive largest cities in Poland, followed by a structure of supporting the strongest political parties at each stage of the cities' rank elimination. Whenever each successive elimination is followed by dwindling support for a given party, this party is referred to as pro-metropolitan.

Does Zipf's law hold for Polish cities?

100%

Cieślik A. , Teresiński J.

Miscellanea Geographica. Regional Studies on Development

2016

tom 20

nr 4

5-10

In this paper we study Zipf's law, which postulates that the product of a city's population and its rank (the number of cities with a larger or equal population) is constant for every city in a given region. We show that the empirical literature indicates that the law may not always hold, although its general form, the rank-size rule, could be a good first approximation of city size distribution. We perform our own empirical analysis of the distribution of the population of polish cities on the largest possible sample to find that Zipf's law is rejected for poland as the city sizes are less evenly distributed than it predicts.

The Formation of Hierarchy: Explanation of the Primate Rank-Size Settlements Distribution in Prehistory

100%

Diachenko A.

Sprawozdania Archeologiczne

2013

tom 65

67-77

This paper deals with the formation of the hierarchic settlement systems. The proposed model shows the links between rank-size distribution empirical law and the Xtent model of C. Renfrew and E. Level. The rise of the settlement hierarchies characterized by the primate rank-size distribution could be explained with the increased importance of a single variable, reflecting the political influence of the new centers. Population values increase at least ten times compared to the number of settlements’ inhabitants before the formation of the spatial hierarchy. This model could be applied to corrections of population estimates in archaeology.