scholarly journals Statistical evaluation of chromosomes of some Lathyrus L. taxa growing in Turkey

Caryologia ◽  
2021 ◽  
Author(s):  
Bekir YILDIRIM ◽  
Hasan GENÇ ◽  
Mikail AÇAR ◽  
Tolga ÇETİN
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Statistical Evaluation ◽  
Mitotic Metaphase ◽  
Metaphase Chromosomes ◽  
And Cluster Analysis

In this study, statistical analysis was performed on mitotic metaphase chromosomes of 26 Lathyrus taxa, four of which are endemic. According to the findings obtained as a result of analysis, taxa close to each other were determined. Chromosome characteristics were revealed based on the arm lengths of taxa. Based on these, ANOVA, correlation analysis, PCA and cluster analysis were performed to determine the chromosomal relationships between taxa. Morphological similarities of plant taxa and chromosomal statistics results may not be always parallel to each other. According to Cluster Analysis, especially L. hirsutus - L. odoratus, L. brachypterus subsp. haussknechtii - L. phaselitanus, L. stenophyllus - L. chloranthus, L. gorgoni var. gorgoni, - L. nissolia - L. pratensis, L. tuberosus - L. annuus taxa are closely related.

scholarly journals Development of the rate of employment and unemployment of males and females in ten associated countries of EU

2004 ◽  
Vol 52 (6) ◽  
pp. 87-104
Author(s):  
Jan Klíma ◽  
Milan Palát
Keyword(s):  
Cluster Analysis ◽  
Czech Republic ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Development Trends ◽  
Total Employment ◽  
The Czech Republic ◽  
Males And Females ◽  
And Cluster Analysis

The paper is focused on the evaluation the rates of employment and unemployment of women, men and as a whole in ten associated countries of EU. Rates of employment were evaluated in the period 1996-2002. Rates of unemployment were evaluated in the period 1996-2003. Employment of males in all ten associated countries of EU is higher then employment of females. Unemployment of females in the Czech Republic, Cyprus, Malta, Poland, Slovakia and Slovenia is higher than unemployment of males and in opposite unemployment of females in Estonia, Hungary, Lithuania and Latvia is lower than unemployment of males. Trends of rates of male, female and total employment and unemployment are evaluated. Methods of regression and correlation analysis, development trends and cluster analysis were applied for the mathematical-statistical analysis.

scholarly journals Development of the rate of employment and unemployment of males and females in countries of EU15

2005 ◽  
Vol 53 (3) ◽  
pp. 145-162
Author(s):  
Milan Palát ◽  
Jan Klíma
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Development Trends ◽  
Total Employment ◽  
Males And Females ◽  
And Cluster Analysis

The paper is focused on the evaluation the rates of employment and unemployment of women, men and as a whole in countries of EU15. Rates of employment were evaluated in the period 1993–2002. Rates of unemployment were evaluated in the period 1994–2003. Employment of males in fifteen countries of EU is higher then employment of females. Unemployment of females in fifteen countries of EU is higher than unemployment of males and in opposite unemployment of females in Sweden is lower than unemployment of males. Trends of rates of male, female and total employment and unemployment are evaluated. Methods of regression and correlation analysis, development trends and cluster analysis were applied for the mathematical-statistical analysis.

scholarly journals A hybrid regionalization method based on canonical correlation analysis and cluster analysis: a case study in northern Iran

2019 ◽  
Vol 50 (4) ◽  
pp. 1076-1095
Author(s):  
Ali Ahani ◽  
S. Saeid Mousavi Nadoushani ◽  
Ali Moridi
Keyword(s):  
Cluster Analysis ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Clustering Algorithm ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Northern Iran ◽  
Regional Flood Frequency Analysis ◽  
And Cluster Analysis

Abstract The performance of regionalization methods used for regional flood frequency analysis is affected considerably by the features used to identify the homogeneous regions (e.g., climatological, meteorological, geomorphological, and physiographic characteristics of the watersheds). In this study, a regionalization method is proposed that takes advantage of the two widely used techniques in regionalization of watersheds: canonical correlation analysis and cluster analysis. In the proposed method, the canonical correlation analysis is utilized to select or weight features that then will be used by a hybrid clustering algorithm for regionalization of watersheds. The proposed method is applied to Sefidrud basin, located in the north of Iran, to implement regionalization with two, three, four, and five regions. Performance assessment of the proposed method shows that all the options of the proposed method can be effective alternatives to some common regionalization methods to improve the homogeneity of the regions. The results indicate that the method can satisfy the homogeneity conditions approximately for all the regions which were identified in the study area.

scholarly journals Application of multivariate statistical analysis in the assessment of groundwater quality of Tan Thanh district, Ba Ria – Vung Tau province

2017 ◽  
Vol 1 (M2) ◽  
pp. 66-72
Author(s):  
Au Hai Nguyen ◽  
Ngan Thi Khanh Phan ◽  
Thuy Thi Thanh Hoang ◽  
Ngoc Nguyen Hong Phan
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Groundwater Quality ◽  
Multivariate Statistical Analysis ◽  
Anthropogenic Pollution ◽  
Dry Season ◽  
Wet Season ◽  
Multivariate Statistical ◽  
Rock Interaction ◽  
And Cluster Analysis

In the present study, Multivariate Statistical Analysis (MSA) such as Principle Component Analysis (PCA) and Cluster Analysis (CA) were applied to determine the temporal and spatial variations of groundwater quality in Tan Thanh district, Ba Ria – Vung Tau province. Groundwater samples were collected from 18 monitoring wells in April (dry season) and October (wet season) during the year 2012. Fifteen parameters (pH, TH, TDS, Cl-, F-, NO3-, SO42-, Cr6+, Cu2+, Ca2+, Mg2+, Na+, K+, HCO3- and Fe2+) were selected for MSA. PCA identified a reduced number of mean three latent factors of groundwater quality. Three factors called salinization, water-rock interaction and anthropogenic pollution explanined 70,5% (dry season) and 71.28% (wet season) of the variances. Cluster analysis revealed two main different groups of similarities between the sampling sites. This study presents the necessity of MSA in order to extract more precise information from a huge minitoring data, which will be usefull to groundwater quality management.

scholarly journals Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Huling Li ◽  
Hui Li ◽  
Zhongxing Ding ◽  
Zhibin Hu ◽  
Feng Chen ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Spatial Patterns ◽  
Moran’S I ◽  
Cumulative Number ◽  
Moran's I ◽  
Spatial Statistical Analysis ◽  
Global Concern ◽  
And Cluster Analysis ◽  
Global Moran’S I

The cluster of pneumonia cases linked to coronavirus disease 2019 (Covid-19), first reported in China in late December 2019 raised global concern, particularly as the cumulative number of cases reported between 10 January and 5 March 2020 reached 80,711. In order to better understand the spread of this new virus, we characterized the spatial patterns of Covid-19 cumulative cases using ArcGIS v.10.4.1 based on spatial autocorrelation and cluster analysis using Global Moran’s I (Moran, 1950), Local Moran’s I and Getis-Ord General G (Ord and Getis, 2001). Up to 5 March 2020, Hubei Province, the origin of the Covid-19 epidemic, had reported 67,592 Covid-19 cases, while the confirmed cases in the surrounding provinces Guangdong, Henan, Zhejiang and Hunan were 1351, 1272, 1215 and 1018, respectively. The top five regions with respect to incidence were the following provinces: Hubei (11.423/10,000), Zhejiang (0.212/10,000), Jiangxi (0.201/10,000), Beijing (0.196/10,000) and Chongqing (0.186/10,000). Global Moran’s I analysis results showed that the incidence of Covid-19 is not negatively correlated in space (p=0.407413>0.05) and the High-Low cluster analysis demonstrated that there were no high-value incidence clusters (p=0.076098>0.05), while Local Moran’s I analysis indicated that Hubei is the only province with High-Low aggregation (p<0.0001).

scholarly journals Cluster analysis of karyotype similarity coefficients in Epimedium (Berberidaceae): insights in the systematics and evolution

PhytoKeys ◽  
2020 ◽  
Vol 161 ◽  
pp. 11-26
Author(s):  
Lin-Jiao Wang ◽  
Meng-Di Gao ◽  
Mao-Yin Sheng ◽  
Jie Yin
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Geographical Distribution ◽  
Karyotype Analysis ◽  
Resource Utilisation ◽  
Mitotic Metaphase ◽  
Interspecific Relationship ◽  
Similarity Coefficients ◽  
Metaphase Chromosomes ◽  
Homologous Chromosomes

In order to evaluate the genome evolution and systematics, karyotype analysis of mitotic metaphase chromosomes in 51 taxa of Epimedium and two species of Vancouveria was conducted. The 53 taxa were clustered, based on their karyotype similarity coefficients. Results showed that the 53 taxa studied were all diploid with 12 chromosomes (2n = 2x = 12). Each taxon had one pair of satellites located on pair I of homologous chromosomes. Moreover, the karyotype types of the 53 taxa studied were all type 1A or 2A of Stebbins. It can be concluded that the karyotypes between species are indeed very similar and the genome of Epimedium was conservative in evolution. The cluster analysis of karyotype similarity coefficients could provide valuable clues for the systematics and taxonomy of Epimedium. Results of the cluster analysis strongly supported the previous taxonomic division of E. subg. Rhizophyllum and E. subg. Epimedium. The results also showed that the interspecific relationship was closely correlated with geographical distribution in E. subg. Epimedium and the taxa native to east Asia had the highest genetic diversity in Epimedium. Finally, the origin of the modern geographical distribution of Epimedium was inferred. Results of the present study have significant scientific values in further studies on resource utilisation, taxonomy and phylogeny in Epimedium.

scholarly journals SEGMENTATION OF TREK AND TRAIL RACE RUNNERS AS TOURISTS

2021 ◽  
Vol 7 (1) ◽  
pp. 53-61
Author(s):  
Ivana Tonković Pražić ◽  
◽  
Marko Pražić ◽  
Kristina Devčić ◽  
◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Online Survey ◽  
Future Research ◽  
Marketing Practice ◽  
The Third ◽  
Cluster Solutions ◽  
And Cluster Analysis ◽  
And Behavior

This paper seeks to supplement the theory of sports marketing with additional knowledge on the participants in trek and trail races, provide basis for better understanding of their motives and behavior. The research instrument is a questionnaire consisting of 30 questions where the first part concerns with behavior at races; the second part consists of statements about the motives and the third part of descriptive questions. There were 194 participants who were interviewed by an online survey. The statistical analysis was conducted using factor analysis and cluster analysis. Five different factors / types of motivation and behavior of trek and trail race runners were extracted. Cluster analysis was also conducted and three cluster solutions were retained. Implications for marketing practice, limitations of the research and recommendations for future research were also given.

scholarly journals A typology of rural areas in Serbia

2008 ◽  
Vol 53 (177) ◽  
pp. 7-29 ◽  
Author(s):  
Natalija Bogdanov ◽  
David Meredith ◽  
Sophia Efstratoglou
Keyword(s):  
Cluster Analysis ◽  
Human Capital ◽  
Factor Analysis ◽  
Correlation Analysis ◽  
Rural Areas ◽  
Rural Regions ◽  
Heterogeneous Nature ◽  
And Cluster Analysis ◽  
Agricultural Tourism

The goal of this paper is to present a method to establish the typology of rural areas in Serbia. Initially the OECD rurality criterion was applied to define the rural areas in Serbia. Subsequently, relevant indicators were selected (demographic, geographic, economic, employment-related, human capital, agricultural, tourism and infrastructure) and used to define and distinguish relatively homogeneous rural regions, based on correlation analysis, factor analysis (VARIMAX method) and cluster analysis. Cluster analysis revealed six regions of different sizes and characteristics. Practical considerations reduced this to four types, resulting in a robust scheme which accurately reflects the heterogeneous nature of rural Serbia.

scholarly journals MENTAL HEALTH AND OCCUPATIONAL IDENTITY OF 1ST YEAR AGRONOMY STUDENTS IN LITHUANIA

2015 ◽  
Author(s):  
Dovilė JONUŠIENĖ ◽  
Kristina KOVALČIKIENĖ
Keyword(s):  
Mental Health ◽  
Cluster Analysis ◽  
Correlation Analysis ◽  
Clustering Analysis ◽  
Identity Status ◽  
Occupational Identity ◽  
First Year ◽  
Identity Statuses ◽  
And Cluster Analysis ◽  
The Relationship

This study investigated the relationship between students’ occupational identity statuses and their mental health. A correlation analysis and cluster analysis were performed with a sample of 167 first-year agronomy students in Lithuania. It was expected that a higher statuses of occupational identity will be related to better mental health. Expectations have been fulfilled only for achievement status, indicating that achievement (the highest identity status) is positively related with general and all components of mental health. Moreover, foreclosure identity status also was positively related with general and three components of mental health. In addition, the results indicated that diffusion identity status was negatively related with real evaluation of subjectively perceived mental health. Clustering analysis proposed two profiles: first of students with better mental health and higher achievement and foreclosure statuses, and second cluster for students with poorer mental health and higher diffusion and higher moratorium statuses. Implications of these findings for university counsellors and for faculty are presented.

scholarly journals Morphometric characteristics of the leaves of Greek maple (Acer heldreichii Orph) in central Serbia

2007 ◽  
pp. 69-82
Author(s):  
Marko Perovic
Keyword(s):  
Cluster Analysis ◽  
Correlation Analysis ◽  
Analysis Of Variance ◽  
Morphometric Characteristics ◽  
Leaf Characteristics ◽  
Morphological Method ◽  
Study Results ◽  
And Cluster Analysis

The taxonomic characteristics of Greek maple (Acer heldreichii Orph) were studied based on the analysis of leaf characteristics, by comparative-morphological method. The study was performed at three localities in central Serbia: Goc, Jastrebac and Rudnik. 30 normally developed trees were selected per each locality, and 30 leaves were selected from each tree for the analysis. The study includes 8 measured and 15 derived characteristics of leaves. The study results were statistically processed by correlation analysis, analysis of variance and cluster-analysis. It is concluded that there are two varieties, var. heldreichii and var. macropterum. Four forms are set aside in the variety macropterum: f. typicum f. dissectum, f. Equiloba and f. rotundiloba. The populations are relatively homogeneous, and both varieties occur at all three localities in significant numbers.

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