Cluster Analysis for Spatial Distribution of Lithic Artifacts at the Tolbor-4 Site (Northern Mongolia) During Final MIS-3

The share of small and medium-sized enterprises (SMEs) is largely present in forestry, especially in the segment related to non-wood forest products (NWFPs) in Europe. They are also a dominant category in entrepreneurship in Serbia. Therefore, the subjects of this research were the companies operating in the sector of NWFPs, within specific statistical regions of Serbia. The database of SMEs was obtained from 119 SMEs and the share of surveyed SMEs was 81.5%. The main research method was two-step cluster analysis. Questionnaire was used for the purpose of the research. The aim of the research was to identify clusters in order to establish similarities within the defined clusters and the differences among them. Spatial distribution of specific categories of NWFPs in nature (mushrooms, medicinal and aromatic plants, honey and wild berries), contributed to the portfolio of the companies. This largely influenced clusters that are created by categories of products that are typical for certain statistical regions in Serbia.

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Spatial distribution and cluster analysis of dengue using self organizing maps in Andhra Pradesh, India, 2011–2013

Parasite Epidemiology and Control ◽

10.1016/j.parepi.2016.11.001 ◽

2018 ◽

Vol 3 (1) ◽

pp. 52-61 ◽

Cited By ~ 9

Author(s):

Srinivasa Rao Mutheneni ◽

Rajasekhar Mopuri ◽

Suchithra Naish ◽

Deepak Gunti ◽

Suryanarayana Murty Upadhyayula

Keyword(s):

Cluster Analysis ◽

Spatial Distribution ◽

Andhra Pradesh ◽

Self Organizing Maps ◽

And Cluster Analysis ◽

Self Organizing

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Hydrogeochemical processes regulating the spatial distribution of groundwater contamination, using pollution index of groundwater (PIG) and hierarchical cluster analysis (HCA): A case study

Groundwater for Sustainable Development ◽

10.1016/j.gsd.2019.100238 ◽

2019 ◽

Vol 9 ◽

pp. 100238 ◽

Cited By ~ 19

Author(s):

N. Subba Rao ◽

Maya Chaudhary

Keyword(s):

Cluster Analysis ◽

Spatial Distribution ◽

Groundwater Contamination ◽

Hierarchical Cluster Analysis ◽

Pollution Index ◽

Hierarchical Cluster ◽

Hydrogeochemical Processes

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Spatial distribution of the macrozoobenthos in the Solís Grande Stream estuary (Canelones-Maldonado, Uruguay)

Brazilian Journal of Biology ◽

10.1590/s1519-69842001000300010 ◽

2001 ◽

Vol 61 (3) ◽

pp. 409-420 ◽

Cited By ~ 21

Author(s):

P. MUNIZ ◽

N. VENTURINI

Keyword(s):

Cluster Analysis ◽

Spatial Distribution ◽

Species Richness ◽

Spatial Patterns ◽

Fine Sand ◽

Present Species ◽

Multivariate Techniques ◽

Natural Factors ◽

Mean Diameter ◽

Variation Explained

The analysis of 24 quantitative macrobenthic samples taken from the Solís Grande Stream estuary yielded 10 species from a total of 4,446 individuals. It was verified that both species richness and diversity was lower than those recorded in nearby regions with similar environmental conditions. In contrast with other studies, a marked dominance of any of the present species was not verified. All the species recorded correspond to typical estuarine organisms. Abundance data were analysed with multivariate techniques and the results showed a relationship with salinity, mean diameter and the percentage of fine sand. According to the cluster analysis and the canonical correspondence analysis (CCA) four groups of stations were defined. The partition out of total variation of the species data showed that the amount of variation explained by the space alone was low. Spatial patterns observed and their possible causes are analysed and discussed in relation to the natural factors that acts in this coastal ecosystem.

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Application of cluster analysis for characterization of spatial distribution of particles by stereological methods

Journal of Microscopy ◽

10.1111/j.1365-2818.1979.tb00148.x ◽

1979 ◽

Vol 115 (1) ◽

pp. 1-17 ◽

Cited By ~ 25

Author(s):

Pierre Baudhuin ◽

Marie-Anne Leroy-Houyet ◽

Joël Quintart ◽

Paul Berthet

Keyword(s):

Cluster Analysis ◽

Spatial Distribution

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Enterprise ownership patterns in the least developed districts of Slovakia

Equilibrium ◽

10.24136/eq.2021.030 ◽

2021 ◽

Vol 16 (4) ◽

pp. 807-838

Author(s):

Marek Csabay ◽

Zuzana Vincúrová ◽

Milan Stoch ◽

Beáta Stehlíková

Keyword(s):

Cluster Analysis ◽

Spatial Distribution ◽

Slovak Republic ◽

Value Added ◽

Foreign Direct Investments ◽

Distribution Analysis ◽

Country Case Study ◽

Business Entities ◽

Individual Ownership

Research background: The literature overview shows a blank space regarding the effects of ownership on the determination of enterprises' spatial distribution. Various papers identify differences between determinants of the spatial distribution of foreign direct investments, exporters in foreign ownership, and domestically owned exporters; however, they mostly agree on the role of big cities, economic centres, and state of infrastructure as well as historical patterns. Purpose of the article: The article focuses on the spatial distribution analysis of enterprise units from their owner's perspective on the empirical evidence from all 79 districts of the Slovak Republic. Special attention is given to the category of the least developed districts. Methods: Within the presented article, the authors investigate the characteristics of the regional spatial distribution of business entities concerning standard ownership categories using the cluster analysis. The presented approach is twofold: firstly, the authors investigate the share of individual ownership types on the district level, and secondly, the number of enterprises by ownership categories is adjusted to 100,000 inhabitants. Cluster analysis and methods of spatial statistics are applied in both approaches. Findings & value added: The main results show a relation between the district's inclusion into the group of the least developed districts and enterprise ownership characteristics in these districts mainly through the relative underrepresentation of the secluded inland, foreign and international types of ownership, as well as their geographical clustering. The results of the presented research can be used in policy-making targeting business activity in underdeveloped districts. At the same time, the results provide basis for limited theoretical generalisations based on a single-country case study with regard to principles of business ownership structures development.

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Stages of spatial dispersion of the COVID-19 epidemic in Poland in the first six months (4 March-20 September, 2020).

Geographia Polonica ◽

10.7163/gpol.0207 ◽

2021 ◽

Vol 94 (3) ◽

pp. 305-324

Author(s):

Przemysław Śleszyński

Keyword(s):

Time Series ◽

Cluster Analysis ◽

Spatial Distribution ◽

Population Density ◽

Spatial Patterns ◽

Concentration Index ◽

Spatial Dispersion ◽

First Case ◽

And Cluster Analysis ◽

Day By Day

The article is a continuation of research published by the author elsewhere (Śleszyński, 2020). The elaboration presents the regularity of spatial distribution of infections during the first six months after the detection of SARS-CoV-2 coronovirus in Poland under strong lockdown conditions. The main aim is to try to determine the basic temporal-spatial patterns and to answer the questions: to what extent the phenomenon was ordered and to what extent it was chaotic, whether there are any particular features of spread, whether the infection is concentrated or dispersed and whether the spreading factors in Poland are similar to those observed in other countries. Day by day data were used according to the counties collected in Rogalski’s team (2020). The data were aggregated to weekly periods (7 days) and then the regularity of spatial distribution was searched for using the cartogram method, time series shifts, rope correlation between the intensity of infections in different periods, Herfindahl-Hirschman concentration index (HHI) and cluster analysis. A spatial typology of infection development in the population was also performed. Among other things, it was shown that during the first period (about 100 days after the first case), the infections became more and more spatially concentrated and then dispersed. Differences were also shown in relation to the spread of the infection compared to observations from other countries, i.e. no relation to population density and level of urbanization.

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The Biodiversity of Gastropods In Karapyak Rocky Shores, Pangandaran Region, West Java Province, Indonesia

Omni-Akuatika ◽

10.20884/1.oa.2018.14.2.547 ◽

2018 ◽

Vol 14 (2) ◽

Cited By ~ 1

Author(s):

Asep Sahidin ◽

Zahidah Zahidah ◽

Herman Hamdani ◽

Indah Riyantini ◽

Roni Sewiko

Keyword(s):

Cluster Analysis ◽

Spatial Distribution ◽

Rocky Shore ◽

Rocky Shores ◽

West Java ◽

The Family ◽

Average Abundance

Pangandaran rocky shores have a unique ecosystem and a variant of invertebrate organisms such as mollusk from the gastropod class. This study aims to analyze the biodiversity of gastropods on the rocky shore of Karapyak beach. This research consists of 5 stations. The quadrant set by 1 m x 1 m vertically toward the sea. The result found 773 individuals scattered in nine families. The family of Neritidae dominated (43%), followed by family cyprinoids with 6.3%. Nerita plicata is a species found to dominate in every station with an average abundance (256 ± 10) and/m2. Using the Bray-Curtis cluster analysis, showed variations in the distribution and abundance of different gastropods vertically into the ocean and uniformly distributed horizontally to the shore. Substrate and tidal are the main variables in the spatial distribution of gastropods in the Karapyak beach.

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