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Wyszukujesz frazę "exploratory spatial data analysis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Selected Intangible Factors Of Regional Development: An Analysis Of Spatial Relationships
Autorzy:
Dańska-Borsiak, Barbara
Laskowska, Iwona
Powiązania:
https://bibliotekanauki.pl/articles/633161.pdf
Data publikacji:
2014-12-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
human capital
social capital
regional development
exploratory spatial data analysis
Opis:
As spatial diversity of economic development is one of the main problems of modern economies, researchers have attempted to define the conditions and factors influencing this phenomenon. Among others, two intangible factors are suggested: human capital and social capital (Herbst ed. 2007). The primary objective of this work is a spatial and spatio-temporal analysis of the diversification of human and social capital within the Polish NUTS 3 subregions. The two detailed targets are constructing composite indicator of both of the mentioned types of capital as well as examining spatial interactions between human capital, social capital and the GNP level per capita. The large diversification of human and social capital in the Polish subregions has been confirmed. Clusters of regions with low levels of human capital have been indicated, whereas in the case of social capital a grouping of its high values was observed. The research also confirmed the positive correlation between GNP per capita and human capital, with high values of both variables in the larget cities. Additionally, there are some subregions with high levels of economic development surrounded by low levels of human and social capital (Łódź, Szczecin, Wrocław). It is possible that high level of GNPpc in these regions was the incentive causing the relocation of human capital from the neighbouring regions. The correlation between GNPpc and social capital, where significant, is of the low-high type. These subregions are located in the east and south of Poland.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2014, 17, 4; 23-41
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development
Autorzy:
Pietrzak, Michał B.
Wilk, Justyna
Bivand, Roger S.
Kossowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/633087.pdf
Data publikacji:
2014-12-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
join-count test
spatial dependence
local indicators of spatial association (LISA)
exploratory spatial data analysis (ESDA)
economic development
taxonomic analysis
Opis:
The paper makes an attempt to apply local indicators for categorical data (LICD) in the spatial analysis of economic development. The first part discusses the tests which examine spatial autocorrelation for categorical data. The second part presents a two-stage empirical study covering 66 Polish NUTS 3 regions. Firstly, we identify classes of regions presenting different economic development levels using taxonomic methods of multivariate data analysis. Secondly, we apply a join-count test to examine spatial dependencies between regions. It examines the tendency to form the spatial clusters. The global test indicates general spatial interactions between regions, while local tests give detailed results separately for each region. The global test detects spatial clustering of economically poor regions but is statistically insignificant as regards well-developed regions. Thus, the local tests are also applied. They indicate the occurrence of five spatial clusters and three outliers in Poland. There are three clusters of wealth. Their development is based on a diffusion impact of regional economic centres. The areas of eastern and north western Poland include clusters of poverty. The first one is impeded by the presense of three indiviual growth centres, while the second one is out of range of diffusion influence of bigger agglomerations.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2014, 17, 4; 203-220
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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