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SPATIAL AUTOCORRELATION OF SELECTED CAUSES OF DEATHS IN SILESIAN VOIVODESHIP IN THE YEARS 2004-2006 (Przestrzenna autokorelacja wybranych przyczyn zgonow w wojewodztwie slaskim w latach 2004-2006)

100%
Mielecka-Kubien Z., Dziembala M.
Śląski Przegląd Statystyczny
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2010
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issue 8(14)
55-80
EN
In the last years, due to the development of spatial statistics and econometrics, as well as of geographic information system (GIS) and the availibility of statistical data, it became possible to conduct deepened research on spatial variation of deaths from different causes. In the paper differences in total and specific mortality rates, standardized according to age structure, among districts of Silesian Voivodeship, Poland, are studied, using the methods of spatial statistics; it is analysed whether they show spatial autocorrelation. It has been stated that the considered mortality rates show positive spatial autocorrelation. It is possible to distinquish clusters of districts of high and low values of the mortality rates. The worst situation, according to the considered causes of deaths, was observed in the big cities of the former Upper Silesian Industrial District and in the north-east part of the voivodeship. The best situation was found in the districts in the south-west part of the Silesian Voivodeship, and in the case of cancer mortality rates also in the north part. The results of the study confirm the usefulness of spatial statistics methods in the epidemiological research.
2
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Prostorová autokorelace – všudypřítomný jev při analýze prostorových dat?

88%
Spurna P.
Sociologický časopis. Czech Sociological Review
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2008
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vol. 44
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issue 4
767-788
EN
The article deals with one of the big analytical issues in spatial data analysis: spatial autocorrelation. This phenomenon is described as a key concept and potential problem of spatial analysis, but especially as a method of spatial analysis. The method is introduced first by reviewing the basic methodological framework including some related issues (the choice of spatial weighting system etc.) and second by presenting empirical examples of its application. Spatial autocorrelation statistics detect the presence of interdependence between the values of data at neighbouring locations. In addition to global spatial autocorrelation, measuring the overall degree of clustering, and calculated, for example, by Moran's I, emphasis is placed on the local analysis of spatial autocorrelation. This local form of spatial autocorrelation is based on the premise that the presence of spatial autocorrelation can vary across the study area, and it is fully in line with contemporary developments in spatial analysis. The results of LISA (local indicators of spatial association, local Moran) can be mapped for the purpose of identifying clusters. The empirical examples based on aggregate statistical data at the municipal level highlight the relevance and usefulness of analysis of spatial autocorrelation and show how these analyses can be used in social research and can improve our understanding of spatial processes.
3
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SPATIAL AUTOCORRELATION - A METHOD FOR DEFINING AND CLASSIFYING REGIONS IN THE CONTEXT OF SOCIO-ECONOMIC REGIONALIZATION IN THE SLOVAK REPUBLIC (Slovak title below)

88%
Slavik V., Grac R., Klobucnik M.
Sociológia (Sociology)
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2011
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vol. 43
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issue 2
183-204
EN
(Slovak title: Priestorova autokorelacia - metoda vymedzovania a klasifikacie regionov v kontexte socialno-ekonomickej regionalizacie Slovenskej republiky). Polarization and differentiation of the society is the result of close links between social and economic dimension, which is reflected not only in economic but also in social differences between regions, along with a wide range of other different factors. The article presents the results of the analysis aimed to identify the problem-ridden and developed regions in the Slovak Republic at the municipal level based on the characteristics of the economically active population and unemployment rates in 2001. The main method applied for classifying regions was the spatial autocorrelation which plays an important role in spatial statistics and spatial econometrics. Identifying and implementing the right variables in space and time contributed to detection of micro-regional differentiation and its consequences within the structural constraints of the analysed area.
4
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Prostorové vzorce sociálně-ekonomické diferenciace obcí v České republice

88%
Novák J., Netrdová P.
Sociologický časopis. Czech Sociological Review
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2011
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vol. 47
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issue 4
717-745
EN
The contemporary socio-spatial differentiation of the Czech Republic is the focus of this article. The main aim is (1) to identify spatial clusters of municipalities formed by similar structural and developmental socioeconomic characteristics, and (2) to uncover the basic socioeconomic factors of the spatial differentiation of municipalities. To achieve the proposed aims a unique dataset covering a wide range of social, demographic, and economic variables at the municipal level is used. The principles of spatial autocorrelations (LISA – local indicators of spatial association) are employed. Very distinct connections between the statistical and the spatial variation of different variables were found, which indicates that the absence of a simple connection between the vertical and the horizontal differentiation of society. From a methodological perspective this article’s major contribution is the construction and testing of procedures which can be used to synthesise the results of the LISA analyses. The synthesis uncovers basic spatial patterns of development mirrored in the formation of the growth and decline poles and axes. The results of cluster analyses indicate the spatial stability and inner homogeneity of the growth areas. Conversely, areas in decline are characterised by a very heterogeneous set of variables differing from region to region.
5
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MALÉ OBCE ČI VEĽKÉ MESTÁ – KDE MAJÚ BLIŽŠIE K SVOJIM OBČANOM? GEOGRAFIA LEGITIMITY MOCI PO KOMUNÁLNYCH VOĽBÁCH

88%
Plešivčák M., Klobučník M., Buček J., Bačík V.
Sociológia (Sociology)
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2022
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vol. 54
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issue 3
217 – 243
EN
In 2022, further municipal elections await us, for the first time connected with elections to the bodies of higher territorial units (self-governing regions). This paper aims to evaluate the issue of elections of mayors in Slovakia in a longer period of time (2002-2018), in terms of the degree of legitimacy regarding the power of this post with respect to the size categories of municipalities by population and related election results. In the study, we work with nine size categories, in the case of the two largest cities (Bratislava and Košice) also separately. In addition, the issue is assessed at the local level - at the level of municipalities forming clusters within the territory of Slovakia on the basis of a similar degree of legitimacy, using the concept of spatial autocorrelation. For this purpose, an index evaluating legitimacy of power was constructed consisting of three components taking into account the level of electoral support, turnout and competition. As an additive indicator, in the case of individual size categories of municipalities we present the intensity of changes in the position of mayor in the municipal elections since 2002. Higher legitimacy of the office has been identified in the case of smaller municipalities, but it is declining over time. On the contrary, the urban environment is characterized by a lower degree of legitimacy, but with a positive outlook (the trend of strengthening the legitimacy of the mayor's post). However, the development of the values concerning the individual components of the index is considerably divergent over time when comparing different municipal size categories.
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