scholarly journals Butterfly Species Richness in Selected West Albertine Rift Forests

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
Patrice Kasangaki ◽  
Anne M. Akol ◽  
Gilbert Isabirye Basuta
Keyword(s):  
Cluster Analysis ◽  
Species Richness ◽  
Principal Components ◽  
Butterfly Species ◽  
Small Areas ◽  
Albertine Rift ◽  
The Third ◽  
Closed Forest ◽  
High Species Richness ◽  
Components Analysis

The butterfly species richness of 17 forests located in the western arm of the Albertine Rift in Uganda was compared using cluster analysis and principal components analysis (PCA) to assess similarities among the forests. The objective was to compare the butterfly species richness of the forests. A total of 630 butterfly species were collected in 5 main families. The different species fell into 7 ecological groupings with the closed forest group having the most species and the swamp/wetland group with the fewest number of species. Three clusters were obtained. The first cluster had forests characterized by relatively high altitude and low species richness despite the big area in the case of Rwenzori and being close to the supposed Pleistocene refugium. The second cluster had forests far away from the supposed refugium except Kisangi and moderate species richness with small areas, whereas the third cluster had those forests that were more disturbed, high species richness, and low altitudinal levels with big areas.

Multivariate Analysis of Remains of Molluscan Foods Consumed by Latest Pleistocene and Holocene Humans in Nerja Cave, Málaga, Spain

1997 ◽  
Vol 48 (2) ◽  
pp. 215-227 ◽  
Author(s):  
Francisco Serrano ◽  
Antonio Guerra-Merchán ◽  
Carmen Lozano-Francisco ◽  
José Luis Vera-Peláez
Keyword(s):  
Cluster Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Late Quaternary ◽  
Western Mediterranean ◽  
Temperature Curve ◽  
Sea Surface ◽  
The Third ◽  
Holocene Sediments ◽  
Components Analysis

AbstractNerja Cave is a karstic cavity used by humans from Late Paleolithic to post-Chalcolithic times. Remains of molluscan foods in the uppermost Pleistocene and Holocene sediments were studied with cluster analysis and principal components analysis, in bothQ and R modes. The results from cluster analysis distinguished interval groups mainly in accordance with chronology and distinguished assemblages of species mainly according to habitat. Significant changes in the shellfish diet through time were revealed. In the Late Magdalenian, most molluscs consumed consisted of pulmonate gastropods and species from sandy sea bottoms. The Epipaleolithic diet was more varied and included species from rocky shorelines. From the Neolithic onward most molluscs consumed were from rocky shorelines. From the principal components analysis inQ mode, the first factor reflected mainly changes in the predominant capture environment, probably because of major paleogeographic changes. The second factor may reflect selective capture along rocky coastlines during certain times. The third factor correlated well with the sea-surface temperature curve in the western Mediterranean (Alboran Sea) during the late Quaternary.

The Golf Players' Motivations: The Algarve Case

2006 ◽  
Vol 6 (3) ◽  
pp. 227-238 ◽  
Author(s):  
Antonia Correia ◽  
Pedro Pintassilgo
Keyword(s):  
Cluster Analysis ◽  
Principal Components Analysis ◽  
Social Environment ◽  
Principal Components ◽  
Golf Courses ◽  
The Sun ◽  
Market Segments ◽  
The Third ◽  
Components Analysis ◽  
Selection Of

The purpose of this article is to investigate the motivations behind golf demand in the Algarve — one of Europe's most popular golf destinations. The research is based on the results of a survey on the golf demand of Algarve's golf courses, held in 2002. In order to identify the main motives behind golf demand in the region, a principal components analysis was performed. Four main choice factors were identified to explain the selection of Algarve's golf courses. The first was designated social environment and is associated with motives such as events and beaches. The second, leisure, is related to restaurants and bars, landscape, weather and accommodation. The third, entitled golf, is directly related to characteristics of courses. The fourth, logistics, is associated with variables such as price and accessibility. It is also found, through a cluster analysis that the choice factors can be associated with three market segments: the tourist golfer, who is mostly concerned with the golf courses and the game; the householder golfer, essentially centred on accommodation, gastronomy, landscape, weather, price and accessibility; and finally, the sun-beach tourist, who is mostly interested in tourist opportunities.

Chemistry research in Europe: A publication analysis (2006–2016)

2019 ◽  
pp. 016555151986549
Author(s):  
Hakan Kaygusuz
Keyword(s):  
Cluster Analysis ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Polymer Science ◽  
Chemistry Research ◽  
Research Outcome ◽  
Components Analysis ◽  
Number Of Publications

In this article, chemistry research in 51 different European countries between years 2006 and 2016 was studied using statistical methods. This study consists of two parts: In the first part, different economical, institutional and citation parameters were correlated with the number of publications, citations and chemical industry numbers using principal components analysis and hierarchical cluster analysis. The results of the first part indicated that economical and geographical parameters directly affect the chemistry research outcome. In the second part, research in branches of chemistry and related disciplines such as analytical chemistry, polymer science and physical chemistry were analysed using principal components analysis and hierarchical cluster analysis for each country. Publication data were collected as the number of chemistry publications (in Science Citation Index–Expanded (SCI-E)) between years 2006 and 2016 in different chemistry subdisciplines and related scientific areas. Results of the second part of the study produced geographical and economical clusters of countries, interestingly, without addition of any geographical data.

Potential of random amplified microsatellites (RAMS) to typify and discriminate varieties of Physalis ixocarpa Brot. ex Hornem.

2018 ◽  
pp. 396
Author(s):  
Eli Amanda Delgado-Alvarado, Norma Almaraz-Abarca ◽  
Cirenio Escamirosa- Tinoco ◽  
Jose Natividad Uribe-Soto, Jose Antonio Avila-Reyes ◽  
Rene Torres-Ricario, Ana Isabel Chaidez-Ayala
Keyword(s):  
Cluster Analysis ◽  
Genetic Variability ◽  
South America ◽  
Principal Components ◽  
Genetic Relationships ◽  
Important Species ◽  
Physalis Peruviana ◽  
Edible Species ◽  
Components Analysis ◽  
Genetic Closeness

Physalis ixocarpa is an edible species of Solanaceae. This is one of the few cultivated and economically important species of the genus in Mesoamerica. In Mexico, several varieties and landraces have been developed, which have not been molecularly characterized. In the current study, five RAMS primers were used to characterize and assess the genetic variability of two varieties and three landraces of this species. The capacity of these markers to discriminate between them was also evaluated. With comparative aims, Physalis peruviana, the most economically important species of the genus in South America, was analyzed in the same manner. The results revealed that the varieties and landraces of P. ixocarpa conserve important levels of genetic variability (21.75% > Polymorphism < 42.75%), which were higher than that found for P. peruviana (10.75% Polymorphism). RAMS were useful specific markers, as P. peruviana and P. ixocarpa were clearly distinguished one from each other by both cluster analysis and principal components analysis. Close genetic relationships were found between the landraces San Isidro Chihuiro and Verde Puebla, and between the varieties Diamante and Rendidora. In spite of the genetic closeness, the RAMS amplification profiles had a clear varietal-specific tendency, in such a way that they may represent varietal fingerprints, which can be used as authentication tool for varieties and landraces of P. ixocarpa.

Sex Differences in the Differentiation of Psychiatric Symptomatology

1989 ◽  
Vol 154 (3) ◽  
pp. 364-367 ◽  
Author(s):  
M. E. Briscoe ◽  
J. L. Vázquez-Barquero ◽  
P. Williams ◽  
J. F. Diez-Manrique ◽  
C. Peña
Keyword(s):  
Sex Differences ◽  
Principal Components ◽  
Community Survey ◽  
Anxiety And Depression ◽  
General Factor ◽  
Psychiatric Symptomatology ◽  
The Third ◽  
Explained Variance ◽  
Components Analysis ◽  
Using Data

A study was conducted using data obtained from the first stage of a community survey in Spain, in which the 60-item version of the GHQ was administered to 1224 adults. Three hypotheses concerning respondents aged under 55 years were tested. The first was that in the context of a principal-components analysis, a greater proportion of the explained variance would be accounted for by the first (general) factor in women than in men. This was supported. The second hypothesis was that the intercorrelations between the GHQ-28 subscales would be greater for women than for men. This was refuted. The third hypothesis was that the differentiation between anxiety and depression would be greater in men than in women. This was supported. The differences investigated were found not to apply among respondents aged 55 years and over.

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