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


Wyświetlanie 1-5 z 5
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
Tytuł:
Analiza przestrzennego zróżnicowania rozwoju społecznego w Polsce na poziomie NUTS 3 z wykorzystaniem lokalnego indeksu HDI
Spatial Differentiation of Social Development in Poland. Analysis on Nuts 3 Level
Autorzy:
Laskowska, Iwona
Dańska-Borsiak, Barbara
Powiązania:
https://bibliotekanauki.pl/articles/655525.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
rozwój społeczny
rozwój lokalny
eksploracyjna analiza danych przestrzennych
statystyka I Morana
podregion
human development
regional development
exploratory spatial data analysis
Moran’s I statistics
subregion
Opis:
Regional development occupies an important place in the policy of the European Union. One of its priorities is to equalize the differences in the level of development of regions assessed more broadly than just the economic dimension. Broad understanding of regional development takes into account its social dimension. To assess the socio‑economic development at the national level, a synthetic indicator called the Human Development Index (HDI) is commonly used. However, HDI values do not describe the inequalities that exist between regions within countries. The main aim of this study is to assess the level of social development in regional (NUTS 3) perspective in Poland using the Local Human Development Index (LHDI) and to attempt to identify the determinants of social development at the local level. The way of constructing LHDI was proposed by the UNDP Project Office in Poland and was only slightly modified for the purposes of this study. The analysis of social development at the local level is important because it can serve as a tool for understanding the causes of existing and future social problems. Another important goal of the research is the analysis of the spatial relationship of social development, which allows to determine whether the strong regions, being local economic centres positively influence the development of the neighbouring regions.
Istotne miejsce w polityce Unii Europejskiej zajmuje rozwój regionalny. Jednym z priorytetów europejskiej polityki spójności jest wyrównywanie różnic w poziomie rozwoju regionów nie tylko w wymiarze ekonomicznym, ale również społecznym, ponieważ szeroko rozumiany rozwój regionalny uwzględnia oba te wymiary. Do oceny rozwoju społeczno‑ekonomicznego na poziomie krajów powszechnie stosowany jest syntetyczny miernik zwany Wskaźnikiem Rozwoju Społecznego (Human Development Index – HDI), który nie odzwierciedla jednak nierówności między regionami wewnątrz danego kraju. Zasadniczym celem prezentowanych badań jest oszacowanie wartości Lokalnego Wskaźnika Rozwoju Społecznego (LHDI) dla podregionów w Polsce oraz próba identyfikacji czynników warunkujących rozwój społeczny na poziomie lokalnym. Konstrukcja LHDI została zaproponowana przez Biuro Projektowe UNDP w Polsce, a na potrzeby niniejszego badania została tylko nieznacznie zmodyfikowana. Analiza rozwoju społecznego na poziomie lokalnym jest istotna, ponieważ może stanowić narzędzie służące zrozumieniu przyczyn już istniejących i przyszłych problemów społecznych. Kolejny ważny cel badań stanowi analiza zależności przestrzennych wskaźników rozwoju społecznego, pozwalająca na stwierdzenie, czy silne ośrodki, będące lokalnymi centrami gospodarczymi, oddziałują prorozwojowo na regiony sąsiadujące.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2018, 1, 333
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Exploratory data analysis of environmental governance at local level in the south-west region of Poland
Autorzy:
Wiatkowska, Barbara
Powiązania:
https://bibliotekanauki.pl/articles/434785.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
environmental order
sustainable development
exploratory data analysis
spatial analysis
GIS
Opis:
Conducting integrated measures within the framework of sustainable development requires an objective identification of the needs for their implementation based on the results of multifaceted analyses of many complex, interrelated factors reflecting the state of the natural environment and the economic and demographic situation. The increasing functionality of Geographic Information Systems (GIS), has made GIS databases a tool supporting the implementation of sustainable development activities. The aim of the study was to recognise the spatial variability of the level of environmental governance in the south-west region of Poland. Methods of research on multidimensional data mining techniques and geo-spatial analyses were applied, resulting in a theoretical model describing the regularities in the relationships between the analysed indicators of environmental governance. The level of environmental governance was most strongly determined by indicators concerning climate change and biodiversity.
Źródło:
Biblioteka Regionalisty; 2018, 18; 62-78
2081-4461
Pojawia się w:
Biblioteka Regionalisty
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The analysis of employment rates in the context of spatial connectivity of the EU regions
Autorzy:
Chocholatá, Michaela
Furková, Andrea
Powiązania:
https://bibliotekanauki.pl/articles/22446568.pdf
Data publikacji:
2018
Wydawca:
Instytut Badań Gospodarczych
Tematy:
employment rate
exploratory spatial data analysis
EU NUTS 2 regions
Opis:
Research background: The main objective of this paper is to analyse the employment rates in the context of spatial connectivity of the EU regions. Employment rate is declared as one of the important indicators of the strategic document Europe 2020. The achievement of high levels of employment in individual regions plays therefore an important role. Purpose of the article: The aim of the paper is to verify the possible spill-over effects within the EU regions and their territorial interconnection in the context of employment rates. Methods: Analysis is based on tools of the Exploratory Spatial Data Analysis (ESDA) to consider spatial connectivity of the EU regions. Findings & Value added: The results show that the statistically significant clusters of regions with high employment rates are situated mainly in the central, northern and north-western part of the EU while the clusters with low values are located mainly in Greece, Spain, Italy, Portugal, Bulgaria, Romania and some French regions.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2018, 13, 2; 181-213
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
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