Browsing by Author "Hauke, Jan"

Now showing 1 - 4 of 4
  • Item
    Analysis of the labour market in metropolitan areas: A spatial filtering approach.
    (Wydział Nauk Geograficznych i Geologicznych UAM, 2012) Kossowski, T omasz; Hauke, Jan
    The power of today's computers allows us to perform computation on massive quantities of data on the one hand and produces enormous amounts of analysis output on the other, as noted by Griffith in his 2003 book. Besides, visualisation and spatial filtering (the core of considerations in Griffith’s book) have a chance to be widely used in research practice, especially in geosciences and, more precisely, for georeferenced data. Following the idea proposed by Patuelli et al. (2006, 2009), we analysed the labour market in Poland, focusing on metropolitan areas and their surroundings. The analysis was performed on a data set for the unemployment rate in the 2,478 Polish communes. We took into account spatial autocorrelation and used spatial filtering techniques to construct components of an orthogonal map pattern. As shown in Tiefelsdorf & Griffith (2007), the spatial filtering techniques could be employed in both, parametric and semi-parametric approaches. In this paper we adopted a parametric one.
  • Item
    Comparison of values of Pearson’s and Spearman’s correlation coefficient on the same sets of data
    (Wydział Nauk Geograficznych i Geologicznych Uniwersytetu im. Adama Mickiewicza, 2011) Hauke, Jan; Kossowski, Tomasz
    Spearman’s rank correlation coefficient is a nonparametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of an association between two variables. It is a measure of a monotone association that is used when the distribution of data makes Pearson’s correlation coefficient undesirable or misleading. Spearman’s coefficient is not a measure of the linear relationship between two variables, as some “statisticians” declare. It assesses how well an arbitrary monotonic function can describe a relationship between two variables, without making any assumptions about the frequency distribution of the variables. Unlike Pearson’s product-moment correlation coefficient, it does not require the assumption that the relationship between the variables is linear, nor does it require the variables to be measured on interval scales; it can be used for variables measured at the ordinal level. The idea of the paper is to compare the values of Pearson’s product-moment correlation coefficient and Spearman’s rank correlation coefficient as well as their statistical significance for different sets of data (original - for Pearson’s coefficient, and ranked data for Spearman’s coefficient) describing regional indices of socio-economic development.
  • Item
    Entropy in regional analysis
    (Wydział Nauk Geograficznych i Geologicznych Uniwersytetu im. Adama Mickiewicza, 2015) Czyż, Teresa; Hauke, Jan
    Entropy has been proposed as a significant tool for an analysis of spatial differences. Using Semple and Gauthier’s (1972) transformation of the Shannon entropy statistic into an entropy measure of inequality and their algorithm, an estimation is made of changes in regional inequality in Poland over the years 2005–2012. The inequality is decomposed into total, inter- and intra-regional types, and an analysis is made of relations holding between them.
  • Item
    Evolution of regional disparities in Poland
    (Wydział Nauk Geograficznych i Geologicznych Uniwersytetu im. Adama Mickiewicza, 2011) Czyż, Teresa; Hauke, Jan
    The article presents the state of and changes in the pattern of regional disparities in Poland over the years 1995-2007. The differences in the level of economic development of regions are examined in a dynamic approach on the basis of per capita income, indices of local government finances, and investment outlays. The effect of development-activating factors on regional income is considered. An answer is sought to the question of whether the growth dynamics had a favourable effect on the evolution of regional disparities in Poland.