Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Refine search results

Journals help

  1. 10 Acta Universitatis Lodziensis. Folia Oeconomica

  2. 3 Barometr Regionalny. Analizy i prognozy

  3. 3 Oeconomia Copernicana

  4. 3 Quaestiones Geographicae

  5. 3 Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie

More...
Years help

  1. 1 2023

  2. 2 2022

  3. 4 2021

  4. 2 2020

  5. 1 2019

More...
Authors help

  1. 6 Rozmus D.

  2. 2 Dudek A.

  3. 2 Korzeniewski J.

  4. 2 Krejdenko T.

  5. 2 Mądry C.

More...

Results found: 45

first rewind previous Page / 3 next fast forward last

Search results

Search:
in the keywords:  clustering
help Sort By:

help Limit search:
first rewind previous Page / 3 next fast forward last
1
Publication available in full text mode
Content available

Rola funduszy europejskich w stymulowaniu rozwoju klasteringu turystycznego

100%
Dyrda-Maciałek S., Dyrda G.
Przedsiębiorstwo i Region
|
2011
|
issue 3
109-119
EN
According to the EU policy, knowledge-based clusters of interlinked innovative enterprises and excellent research institutes could be among the main levers to foster EU competitiveness in the knowledge-based economy. This policy of the EU assumes a financial support of clusters as a main factor of poorer regions competitiveness rising. This article shows examples of the EU- funds that helped tourism clusters with creating, development and succesfull activity on local and regional markets.
2

Clustered Approach to ICT Services Utilization Analysis

100%
Doucek P., Novotný O.
Organizacija
|
2012
|
vol. 45
|
issue 1
24-30
EN
The paper describes clustered approach to ICT services utilization analysis based on the WSA method. It allows extracting coherent groups of countries with nearly the same level of ICT services utilization based on the number of indicators analyzed. Approach is explained on case of the Czech Republic and its position in the European peloton with using available Eurostat data.
3

Clustering Algorithms in Hybrid Recommender System on MovieLens Data

100%
Kuzelewska U.
Studies in Logic, Grammar and Rhetoric
|
2014
|
vol. 37
|
issue 1
125-139
EN
Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during surfing the Internet: selecting web sites to explore, choosing needed information in search engine results or deciding which product to buy in an on-line store. Recommender systems are electronic applications, the aim of which is to support humans in this decision making process. They are widely used in many applications: adaptive WWW servers, e-learning, music and video preferences, internet stores etc. In on-line solutions, such as e-shops or libraries, the aim of recommendations is to show customers the products which they are probably interested in. As input data the following are taken: shopping basket archives, ratings of the products or servers log files. The article presents a solution of recommender system which helps users to select an interesting product. The system analyses data from other customers' ratings of the products. It uses clustering methods to find similarities among the users and proposed techniques to identify users' profiles. The system was implemented in Apache Mahout environment and tested on a movie database. Selected similarity measures are based on: Euclidean distance, cosine as well as correlation coefficient and loglikehood function.
4
Publication available in full text mode
Content available

HUMAN RESOURCES ANALYSIS USING A DECISION SUPPORT SYSTEM

100%
Becker A., Becker J.
Metody Ilościowe w Badaniach Ekonomicznych
|
2013
|
vol. 14
|
issue 1
15-26
EN
This paper presents the results of the analysis of labour resources in the sample manufacturing company. The process consisted of: scheduling, grouping and assessment of personnel taking into account the criteria and preferences of executives. Solutions were obtained using the decision support system DSS 2.0.
5
Publication available in full text mode
Content available

The means-end approach in market segmentation – clustering of laddering data

100%
Myrda A.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2016
|
issue 4 (54)
72-81
EN
The objective of this paper was to present results of research on two methodological issues related to the clustering of laddering data. The first was the methods of aggregation of information from ladders generated by one respondent and the second was the measurement of ladders’ dissimilarity. Two methods of aggregation of information from ladders were proposed, three sequence dissimilarity measures were presented and all combinations of them were used in the analysis. The clustered data originate from a research on Polish adolescents’ online consumer behaviour wherein the means-end approach was used. 1004 high school students participated in the research. Data were clustered from 2 to 10 groups, six modes of analysis were used, thus 54 solutions were built. Solutions with the same number of groups were compared with the adjusted Rand index. Analysis indicates the influence of sequences dissimilarity measures and methods of aggregation of information from ladders on clustering results.
6
Publication available in full text mode
Content available

Level of Sustainable Development in Poland and EU Countries – Analysis with Cluster Stability Measures

100%
Rozmus D.
Przegląd Statystyczny
|
2019
|
vol. 66
|
issue 1
84-93
EN
In the context of taxonomy methods in recent years, a lot of attention is paid to the stability of these methods, i.e. the answer to the question to what extent the structure discovered by a given method is actually present in the data? Many different ways of measuring stability have been proposed in the literature, which are mainly relating to the stability of the final grouping result. Lord et al. (2017) instead proposed a measure of stability for each observation from the data set and the measure of stability for individual groups. In their article, they suggest that an individual measure of stability may indicate noisy observation whereas the stability measure relating to particular groups may indicate clusters of noise which should be removed from the dataset. The aim of the paper is to apply the proposed individual measure of stability and a measure of stability for individual groups to answer the question to what extent Poland is matched the EU in terms of the level of sustainable development.
7
Publication available in full text mode
Content available

Internal Cluster Quality Indexes for Classification of Symbolic Data

100%
Dudek A., Wrocław University of Economics C. o. E. a. I.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2009
|
vol. 225
EN
This paper describes main classification methods used for symbolic data (e.g. data in form of: single quantitative value, categorical value, interval, multivalued variable, multivaliued variable with weights) presents difficulties of measuring clustering quality for symbolic data (such as lack of "traditional" data matrix), presents which of known indexes like Silhouette index, Ball index, Hartingan index, Baker and Hubert index, Huberta and Levine index, Ratkovski index, Ball index, Hartigan index, Krzanowski and Lai index, Scott index, Marriot index, Rubin index, Friedman index may be used for validation of such type of data and what indexes are specific only for symbolic data. Simulation results arc used to propose most adequate indexes for each classification algorithm.
PL
Artykuł opisuje procedury klasyfikacyjne, które mogą być używane dla danych symbolicznych (tj. dla danych mogących być reprezentowanych w postaci: liczb, danych jakościowych, przedziałów liczbowych, zbioru wartości, zbioru wartości z wagami), przedstawia problemy związane z mierzeniem jakości klasyfikacji dla tych procedur (takie jak brak „klasycznej" macierzy danych) oraz przedstawia, które ze znanych indeksów, takich jak: Silhouette, indeks Calińskiego-Harabasza, indeks Bakera-Huberta, indeks Huberta-Levine, indeks Ratkowskiego, indeks Balia, indeks Hartigana, indeks Krzanowskiego-Lai, indeks Scotta, indeks Marriota, indeks Rubina i indeks Friedmana, mogą być wykorzystane dla tego typu danych oraz jakie są miary jakości podziału specyficzne dla danych symbolicznych. Na podstawie przeprowadzonych symulacji zaproponowane zostały indeksy faktycznie odzwierciedlające strukturę klas dla poszczególnych algorytmów klasyfikacyjnych.
8
Publication available in full text mode
Content available

On Some Properties of Support Vector Clustering

100%
Trzęsiok M., Department of Mathematics K. A. U. o. E.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2009
|
vol. 228
PL
Celem referatu jest przedstawienie analizy wybranych formalnych własności taksonomicznej metody wektorów nośnych (SVC). Wyniki dotyczące nowej metody SVC zestawiono i porównano z własnościami innych znanych metod taksonomicznych. Ponieważ na ogół nie jest możliwe wskazanie, która z metod taksonomicznych daje najlepsze rezultaty, stojąc wobec konkretnego problemu, badacz musi dokonywać wyboru metody w oparciu o wiedzę dotyczącą ich własności. Zadaniem badacza jest wtedy ustalenie preferencji w zbiorze własności metod by następnie użyć ich przy doborze odpowiedniego narzędzia. Wiedza dotycząca formalnych własności metod taksonomicznych jest w referacie rozszerzona o nową- taksonomiczną metodę wektorów nośnych.
EN
The aim o f this paper is to analyse the relatively new clustering method - Support Vector Clustering (SVC) in terms o f fulfilling admissibility conditions. The results are compared within a group o f four other clustering methods. Since it is not possible to assess which clustering method is the "best" in general, given a specific problem the user can decide which method to apply considering some properties o f clustering methods, known as admissibility conditions. This paper expands the knowledge about the properties o f clustering methods with the properties o f SVC.
9
Publication available in full text mode
Content available

Comparison of Accuracy of Affinity Propagation Method and Cluster Ensembles Based on Co-Occurrence Matrix

100%
Rozmus D., University of Economics in Katowice D. o. S.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2013
|
vol. 286
EN
High accuracy of results is a very important task in any grouping problem (clustering). It determines effectiveness of the decisions based on them. Therefore in the literature there are proposed methods and solutions whose main aim is to give more accurate results than traditional clustering algorithms (e.g. k-means or hierarchical methods). Examples of such solutions can be cluster ensembles or affinity propagation method. Here, we carry out an experimental study to compare accuracy of those two approaches.
PL
Stosując metody taksonomiczne w jakimkolwiek zagadnieniu klasyfikacji ważną kwestią jest zapewnienie wysokiej poprawności wyników grupowania. Od niej bowiem zależeć będzie skuteczność wszelkich decyzji podjętych na ich podstawie. Stąd też w literaturze wciąż proponowane są nowe rozwiązania, które mają przynieść poprawę dokładności grupowania w stosunku do tradycyjnych metod (np. k-średnich, metod hierarchicznych). Przykładem mogą tu być metody polegające na zastosowaniu podejścia zagregowanego, czyli łączenia wyników uzyskanych w wyniku wielokrotnego grupowania (ang. cluster ensemble) oraz taksonomiczna metoda propagacji podobieństwa (ang. affinity propagation clustering). Głównym celem tego artykułu jest porównanie dokładności taksonomicznej metody propagacji podobieństwa zaproponowana przez Frey i Duecka (2007) oraz zagregowanych algorytmów taksonomicznych opartych idei macierzy współwystąpień (Fred, Jain 2002).
10
Publication available in full text mode
Content available

Comparison of Accuracy of Spectral Clustering and Cluster Ensembles based on Co-Occurrence Matrix

100%
Rozmus D., Katowice U. o. E.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2013
|
vol. 285
EN
High accuracy of the results is very important task in any grouping problem (clustering). It determines effectiveness of the decisions based on them. Therefore in the literature there are proposed methods and solutions that main aim is to give more accurate results than traditional clustering algorithms (e.g. k-means or hierarchical methods). Examples of such solutions can be cluster ensembles or spectral clustering algorithms. Here, we carry out an experimental study to compare accuracy of spectral clustering and cluster ensembles.
PL
Stosując metody taksonomiczne w jakimkolwiek zagadnieniu klasyfikacji ważną kwestią jest zapewnienie wysokiej poprawności wyników grupowania. Od niej bowiem zależeć będzie skuteczność wszelkich decyzji podjętych na tej podstawie. Stąd też w literaturze wciąż proponowane są nowe rozwiązania, które mają przynieść poprawę dokładności grupowania w stosunku do tradycyjnych metod. Przykładem mogą tu być metody polegające na zastosowaniu podejścia zagregowanego oraz algorytmy spektralne. Głównym celem tego artykułu jest porównanie dokładności zagregowanych i spektralnych algorytmów taksonomicznych. W badaniach pod uwagę wzięta zostanie tylko specyficzna klasa metod agregacji, która oparta jest na macierzy współwystąpień (Fred, Jain 2002). Natomiast jako algorytm spektralny zastosowana będzie metoda zaproponowana przez Ng i in. (2001).
11
Publication available in full text mode
Content available

Classification of Large Data Sets. Comparison of Performance of Chosen Algorithms

100%
Dudek A., Wrocław U. o. E.
Acta Universitatis Lodziensis. Folia Oeconomica
|
2013
|
vol. 285
EN
Researchers analyzing large (> 100,000 objects) data sets with the methods of cluster analysis often face the problem of computational complexity of algorithms, that sometimes makes it impossible to analyze in an acceptable time. Common solution of this problem is to use less computationally complex algorithms (like k-means), which in turn can in many cases give much worse results than for example algorithms using eigenvalues decomposition . The results of analysis of the actual sets of this type are therefore usually a compromise between quality and computational capabilities of computers. This article is an attempt to present the current state of knowledge on the classification of large datasets, and identify ways to develop and open problems.
PL
Badacze analizujący przy pomocy metod analizy skupień duże (> 100.000 obiektów) zbiory danych, stają często przed problemem złożoności obliczeniowej algorytmów, uniemożliwiającej niekiedy przeprowadzenie analizy w akceptowalnym czasie. Jednym z rozwiązań tego problemu jest stosowanie mniej złożonych obliczeniowo algorytmów (hierarchiczne aglomeracyjne, k-średnich), które z kolei mogą w wielu sytuacjach dawać zdecydowanie gorsze rezultaty niż np. algorytmy wykorzystujące dekompozycję względem wartości własnych. Rezultaty rzeczywistych analiz tego typu zbiorów są więc zazwyczaj kompromisem pomiędzy jakością a możliwościami obliczeniowymi komputerów. Artykuł jest próbą przedstawienia aktualnego stanu wiedzy na temat klasyfikacji dużych zbiorów danych oraz wskazania dróg rozwoju i problemów otwartych.
12
Content available remote

Shlukování a přepínání v Testu verbální fluence : návrh adaptace kritérií do českého jazyka a shoda posuzovatelů

89%
Víchová M., Dokoupilová M., Chromý J., Urbánek T., Nikolai T.
Československá psychologie (Czechoslovak Psychology)
|
2020
|
vol. 64
|
issue 3
306-320
EN
The main goal of this study was to introduce the evaluation procedure in Verbal fluency task – clustering and switching – to the Czech public, to adapt this procedure to the Czech language and to judge its relevance. The review focuses on the way of arranging the words into the clusters (socalled clustering) and switching between them. This procedure is extended in foreign research but it has not yet been systematically adapted in the Czech context. In the article the theoretical background of clustering and switching in phonological verbal fluency (PVF) and also in semantic verbal fluency (SVF) is introduced and few classifications of clustering are described – e.g. Troyer et al. (1997), Abwender et al. (2001), Libon et al. (2009) and Tallberg et al. (2011). In Study 1, the most cited classification by Troyer et al. (1997) is adapted to the Czech language and the differences between the original version and Czech adaptation are discussed. In Study 2, ten protocols were rated by two raters and the inter-rater reliability was calculated. The value of Cohen,s kappa showed moderate to excellent agreement. This approach is very promising but it requires further research.
CS
Cílem této studie bylo představit české veřejnosti návrh clusteringu a switchingu v testu verbální fluence (VF), adaptovat vybrané klasifikace do českého prostředí a posoudit jejich relevanci. Článek se zabývá hodnocením uspořádání slov do celků (tzv. clusterů) a plynulosti přepínání mezi nimi (switching). Tento v zahraničí rozšířený přístup k analýze protokolů VF nebyl doposud v češtině systematizován. Čtenář je seznámen s teoretickým pozadím hodnocení clusterů a switchů ve fonologické verzi (PVF) i kategoriální verzi (SVF) a některými vybranými klasifikacemi – např. Troyer et al. (1997), Abwender et al. (2001), Libon et al. (2009) či Tallberg et al. (2011). Klasifikace Troyerové et al. (1997), která je celosvětově nejcitovanější, byla převzata a autoři článku se vyjádřili k jednotlivým pravidlům z pohledu českého jazyka i kulturního prostředí (Studie 1). Ve Studii 2 byly u deseti vybraných protokolů dvěma posuzovateli oskórovány fonematické clustery v PVF a sémantické clustery v SVF. Vypočtená shoda posuzovatelů ukázala v obou případech na dobrou až výbornou shodu. Jedná se o velmi slibný, nicméně stále teoretický koncept, jehož aplikace do praxe si žádá další zkoumání.
13

Clustering and Switching Strategies During the Semantic Fluency Task in Men with Frontal Lobe Lesions and in Men with Schizophrenia

88%
Okruszek Ł., Rutkowska A., Wilińska J.
Psychology of Language and Communication
|
2013
|
vol. 17
|
issue 1
93-100
EN
Differences in semantic clustering and switching were examined in men with frontal lobe lesions, men with schizophrenia and healthy men. Men with frontal lobe lesions and men with schizophrenia generated fewer words than healthy men and presented intact clustering, but decreased switching during the semantic fluency task. However, after controlling for the number of words produced, between-group differences in switching disappeared. These findings suggest that all three groups used similar strategies of clustering and switching during the semantic fluency task, although men with frontal lobe lesions and men with schizophrenia did it less efficiently than healthy men.
14
Publication available in full text mode
Content available

Neighbourhood Ties and Migrant Networks: The Case of Circular Ukrainian Migrants in Warsaw, Poland

88%
Toruńczyk-Ruiz S.
Central and Eastern European Migration Review
|
2014
|
vol. 3
|
issue 1
41-62
EN
The paper deals with the importance of neighbourhood ties in the social networks of circular migrants. While existing research shows that social networks constitute a crucial element in the process of circular migration, not much is known about the extent to which these networks are territorialised. The paper discusses this issue by analysing the case of Ukrainian migrants in Warsaw and its suburbs, who are close to the receiving society in both cultural and geographic terms and thus make this group a unique case compared to immigrants travelling to Europe from more distant places. The analyses are based on data collected in a survey on Ukrainian migrants carried out in 2010 by the Centre of Migration Research, University of Warsaw, with the help of Respondent Driven Sampling (RDS). The studied sample consists of 342 respondents with different duration of migration from Ukraine to Poland. The paper argues that neighbourhood ties do not play an important role in the social capital and mobility patterns of Ukrainian circular migrants. The social relations of migrants are formed through ethnic and kinship ties, which are not related to a specific local area. The analyses also confirm earlier findings which show that Ukrainian migrants do not tend to concentrate spatially in the Warsaw metropolitan area, but which do point to the existence of small ethnic clusters. However, these seem to be determined by structural factors such as the availability of flats rather than individual preferences to live close to co-ethnics, which altogether suggests that there is a limited potential for local community formation among Ukrainian migrants.
15

Numerical Data Clustering Algorithms in Mining Real Estate Listings

88%
Pancerz K., Mich O.
Barometr Regionalny. Analizy i prognozy
|
2014
|
issue 3(37)
43-50
EN
In the paper, we propose a method for mining real-estate listings using clustering algorithms intended for numerical data. The presented approach is based on information systems over ontological graphs. Such information systems have been proposed to deal with data in the form of concepts linked by different semantic relations. A special attention is focused on preprocessing steps transforming advertisements in the textual form into information systems defined over ontological graphs, as well as on encoding attribute values for clustering algorithms.
PL
W artykule zaproponowano metodę eksploracji serwisów ogłoszeń nieruchomości przy użyciu algorytmów klasteryzacji przeznaczonych dla danych numerycznych. Przedstawione podejście bazuje na systemach informacyjnych nad grafami ontologicznymi. Systemy informacyjne tego typu zaproponowane zostały w celu poradzenia sobie z danymi w postaci pojęć powiązanych ze sobą za pomocą różnych relacji semantycznych. Specjalna uwaga została zwrócona na etap wstępnego przetwarzania danych z ogłoszeń w postaci tekstowej do postaci systemów informacyjnych zdefiniowanych nad grafami ontologicznymi jak również na kodowanie wartości atrybutów dla algorytmów klasteryzacji.
16

Identification of Statistical Relations between Tax Policies in Voivodship Capitals and Local Housing Market Development

88%
Zapotoczna M., Cymerman J.
Barometr Regionalny. Analizy i prognozy
|
2016
|
issue 2(44)
173-185
EN
The authors seek the correlations between local council policies concerning residential property taxation and the growth of local housing markets in voivodship capitals in 2007–2013. The first part of the paper contains the analysis of the dynamics of changes in local property taxes followed by the evaluation of the development levels of local housing markets and their linear ordering by means of the property market development indicator. Then, in order to capture the similarities and identify trends on the local housing markets, the cities were classified into homogenous clusters. In the last stage of the analysis the authors evaluated the relevance of property tax rates adopted locally on the growth of local housing markets. The study results showed no statistically relevant correlation between the analysed phenomena — i.e., no effect of the local property tax rates on the decisons made by investors on the local housing markets.
PL
W artykule poszukiwano zależności pomiędzy prowadzoną przez władze lokalne polityką podatkową w zakresie podatku od nieruchomości mieszkaniowych a rozwojem rynków mieszkaniowych w miastach wojewódzkich w latach 2007–2013. W pierwszej części artykułu dokonano analizy dynamiki zmian wysokości uchwalanych stawek podatku od nieruchomości. Następnie dokonano oceny poziomu rozwoju rynków mieszkaniowych oraz uporządkowania liniowego przy wykorzystaniu względnego współczynnika poziomu rozwoju. Z kolei, w celu uchwycenia zbieżności oraz jednakowych tendencji na rynkach mieszkaniowych pogrupowano miasta w grupy jednorodne. Ostatnim etapem analizy była ocena istotność wpływu wysokości uchwalanych stawek podatku od nieruchomości mieszkaniowych na rozwój rynków mieszkaniowych. Uzyskane wyniki wykazały brak statystycznie istotnej zależności pomiędzy badanymi zjawiskami tzn. brak wpływu wysokości uchwalonych przez rady miast wysokości stawek na podejmowane przez inwestorów decyzje na rynku mieszkaniowym.
17

Clustering and Visualization of Bankruptcy Patterns Using the Self-Organizing Maps

88%
Burda A., Pancerz K.
Barometr Regionalny. Analizy i prognozy
|
2014
|
issue 3(37)
133-138
EN
Pattern recognition of bankrupt or non-bankrupt enterprises may not only extend or confirm the knowledge in economics, but also deliver to experts, from the standpoint of the decision support, a view of the economic and financial situation of the audited enterprise. Therefore, it may be an effective tool for early warning of the bankruptcy risk of the enterprise. Such a tool is especially important for small and medium enterprises (SMEs) in the underdeveloped regions. The research described in the paper is intended for generation and visualization of the state of SMEs in the Podkarpacie region on the basis of information included in financial reports. A self-organizing map (SOM), often called the Kohonen net, has been used in the unsupervised modelling mode. Results of research show a high potential of the method to the stated objectives and the simplicity of the representation of knowledge transferred to entrepreneurs and financial analysts.
PL
Rozpoznawanie wzorców przedsiębiorstw w stanie bankrupt lub non-bankrupt, może nie tylko poszerzyć lub potwierdzić wiedzę z dziedziny ekonomii, ale również z punktu widzenia wspomagania decyzji, może dać ekspertom pogląd na stan ekonomiczno-finansowy audytowanego przedsiębiorstwa. A zatem, może stanowić skuteczne narzędzie wczesnego ostrzegania przedsiębiorstwa przed bankructwem. Narzędzie takie jest szczególnie istotne dla małych i średnich przedsiębiorstw (SME) w regionach słabo zurbanizowanych. Przeprowadzone i opisane w tym artykule badania miały na celu wygenerowanie i wizualizację stanu SME w regionie podkarpackim na podstawie informacji zawartych w sprawozdaniu finansowym. Do modelowania w trybie klasyfikacji bezwzorcowej użyto sieć Kohonena (SOM). Wyniki badań pokazały duże możliwości zastosowanej metody do wskazanych celów oraz prostotę reprezentacji wiedzy przekazywanej przedsiębiorcom i analitykom finansowym.
18
Publication available in full text mode
Content available

PRO-INVESTMENT LOCAL POLICIES IN THE AREA OF REAL ESTATE ECONOMICS – SIMILARITIES AND DIFFERENCES IN THE STRATEGIES USED BY COMMUNES

88%
Małkowska A., Głuszak M.
Oeconomia Copernicana
|
2016
|
vol. 7
|
issue 2
269-283
EN
In the article we discuss the importance of the real estate related instruments used by local government to attract investment and stimulate local economic development. The article discusses economic literature related to public economics at the local government level, with the special emphasis put on the link between urban and real estate economics and development. In the empirical part of the paper, we analyze the results of the survey conducted at the local government level in Poland (Malopolska). There are two major research objectives: (1) to identify the scope of the real estate economic instruments used by the communes as part of their development policies’ strategies; (2) to examine the coexistence of certain types of instruments as part of the commune development strategies. To find relevant answers, both multidimensional scaling and cluster analysis are applied. Additionally, we discuss whether there are evidence of mimicking behavior in local development policies.
19
Publication available in full text mode
Content available

The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland

88%
Landmesser J.
Oeconomia Copernicana
|
2021
|
vol. 12
|
issue 3
539-556
EN
Research background: In recent times, the whole world has been severely affected by the COVID-19 pandemic. The influence of the epidemic on the society and the economy has caused a great deal of scientific interest. The development of the pandemic in many countries was analyzed using various models. However, the literature on the dissemination of COVID-19 lacks econometric analyzes of the development of this epidemic in Polish voivodeships. Purpose of the article: The aim of the study is to find similarities in time series for infected with and those who died of COVID-19 in Polish voivodeships using the method of dynamic time warping. Methods: The dynamic time warping method allows to calculate the distance between two time series of different lengths. This feature of the method is very important in our analysis because the coronavirus epidemic did not start in all voivodeships at the same time. The dynamic time warping also enables an adjustment of the timeline to find similar, but shifted, phases. Using this method, we jointly analyze the number of infected and deceased people in each province. In the next step, based on the measured similarity of the time series, the voivodeships are grouped hierarchically. Findings & value added: We use the dynamic time warping to identify groups of voivodeships affected by the epidemic to a different extent. The classification performed may be useful as it indicates patterns of the COVID-19 disease evolution in Polish voivodeships. The results obtained at the regional level will allow better prediction of future infections. Decision makers should formulate further recommendations for lockdowns at the local level, and in the long run, adjust the medical infrastructure in the regions accordingly. Policymakers in other countries can benefit from the findings by shaping their own regional policies accordingly.
20
Publication available in full text mode
Content available

Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering

88%
He L., Tao J. g., Meng P., Chen D., Yan M., Vasa L.
Oeconomia Copernicana
|
2021
|
vol. 12
|
issue 3
789-819
EN
Research background: Previous studies on the economic and social development of urban agglomerations mostly focus on a single primacy comparative analysis and efficiency evaluation. Spatial structure differentiation is an important feature of urban agglomeration. The lack of economic and social analysis on the spatial structure makes it impossible to determine the development positioning of each city in the urban agglomeration, which affects the sustainable economic development ability of these areas. Purpose of the article: The objective of the article is to analyze the spatial development law and experience of urban agglomeration, this study explores the practice of economic and population spatial structure of city areas in China. For this purpose, CPUA and its central city Zhengzhou was taken as an example, the spatial gradient structure of example was analyzed. Methods: Using economic and population data of 32 cities in this region, growth pole theory, and pole-axis theory, the economic and population spatial structure of urban agglomeration, the spatial gradient structure of central cities in urban agglomerations were analyzed with the method of cluster about radiation index. Findings & value added: (1) In the process of the formation of CPUA, the geo-graphical spatial pattern plays a decisive role in economic and social development. This is an experience from developing countries. (2) CPUA presents a gradient development pattern with Zhengzhou as the center, and economic and social development gradually radiates to the metropolitan area, the core development area, and the character development demonstration area. (3) The economic and social gradients of Zhengzhou, the central city, present the hierarchy rules and characteristics which are driven by the Beijing-Guangzhou-Railway axis and the Longhai-Railway axis. (4) The central city of Zhengzhou still presents insufficient primacy in regional development, which shows that Zhengzhou accounts for 6% of the population of the Central Plains Economic Zone and 14% of GDP, and insufficient agglomeration. Different countries at different stages of economic development have different urban agglomeration development models. The conclusions from China provide new decision-making ideas and methods for spatial structure research and development strategy analysis of urban agglomerations.
first rewind previous Page / 3 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.