Correction to: Socioeconomic and demographic characterization of an endemic malaria region in Brazil by multiple correspondence analysis

The objective of this work was to select the most informative morphoagronomic descriptors for cassava (Manihot esculenta) germplasm and to evaluate the ability of different methods to select the descriptors. Ninety-five accessions were characterized using 51 morphoagronomic descriptors. Data were subjected to a multiple correspondence analysis (MCA), whose information was used in the following four methods of descriptor selection: reverse order of the descriptor for the pth factorial axis of the MCA (Jolliffe); sequential, multiple correspondence analysis (SMCA); mean of the contribution orders of the descriptor in the first three factorial axes (C3PA); and C3PA method weighted by the respective eigenvalues of the full analysis (C3PAWeig). The correlations between the dissimilarity matrix with all descriptors and the most informative descriptors were high and significant (0.75, 0.77, 0.83, and 0.84 for C3PAWeig, C3PA, SMCA, and Jolliffe, respectively). The less informative descriptors were discarded, considering those common among the selection methods and relevant for the breeding interests. Therefore, 32 morphoagronomic descriptors with correlation between the dissimilarity matrices (r=0.81) were selected, due to their high capacity to discriminate cassava germplasm and to their ability to maintain some preliminary agronomic traits, useful for the initial characterization of the germplasm.

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Multiple-correspondence analysis optical microscopy for determination of starch granules

Journal of Chemometrics ◽

10.1002/cem.1180060307 ◽

1992 ◽

Vol 6 (3) ◽

pp. 163-175 ◽

Cited By ~ 5

Author(s):

M. F. Devaux ◽

E. M. Qannari ◽

D. J. Gallant

Keyword(s):

Optical Microscopy ◽

Correspondence Analysis ◽

Multiple Correspondence Analysis ◽

Starch Granules

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Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques

Land ◽

10.3390/land10050539 ◽

2021 ◽

Vol 10 (5) ◽

pp. 539

Author(s):

Boglárka Németh ◽

Károly Németh ◽

Jon N. Procter

Keyword(s):

Correspondence Analysis ◽

Conservation Planning ◽

Earth Science ◽

Multiple Correspondence Analysis ◽

Contributing Factors ◽

Usual Model ◽

Development Indicators ◽

Individual Variables ◽

Business As Usual ◽

World Development

Ordination methods are used in ecological multivariate statistics in order to reduce the number of dimensions and arrange individual variables along environmental variables. Geoheritage designation is a new challenge for conservation planning. Quantification of geoheritage to date is used explicitly for site selection, however, it also carries significant potential to be one of the indicators of sustainable development that is delivered through geosystem services. In order to achieve such a dominant position, geoheritage needs to be included in the business as usual model of conservation planning. Questions about the quantification process that have typically been addressed in geoheritage studies can be answered more directly by their relationships to world development indicators. We aim to relate the major informative geoheritage practices to underlying trends of successful geoheritage implementation through statistical analysis of countries with the highest trackable geoheritage interest. Correspondence analysis (CA) was used to obtain information on how certain indicators bundle together. Multiple correspondence analysis (MCA) was used to detect sets of factors to determine positive geoheritage conservation outcomes. The analysis resulted in ordination diagrams that visualize correlations among determinant variables translated to links between socio-economic background and geoheritage conservation outcomes. Indicators derived from geoheritage-related academic activity and world development metrics show a shift from significant Earth science output toward disciplines of strong international agreement such as tourism, sustainability and biodiversity. Identifying contributing factors to conservation-related decisions helps experts to tailor their proposals for required evidence-based quantification reports and reinforce the scientific significance of geoheritage.

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Multiple Correspondence Analysis

An Introduction to Correspondence Analysis - Wiley Series in Probability and Statistics ◽

10.1002/9781119044482.ch6 ◽

2021 ◽

pp. 143-161

Keyword(s):

Correspondence Analysis ◽

Multiple Correspondence Analysis

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Patterns of Italian high school and university students’ attitudes towards physics: an analysis based on semiotic-cultural perspective

European Journal of Psychology of Education ◽

10.1007/s10212-021-00563-z ◽

2021 ◽

Author(s):

Italo Testa ◽

Raffaele De Luca Picione ◽

Umberto Scotti di Uccio

Keyword(s):

High School ◽

Cluster Analysis ◽

University Students ◽

Correspondence Analysis ◽

Multiple Correspondence Analysis ◽

Psychological Theory ◽

Cultural Perspective ◽

Undergraduate Level ◽

Students Attitudes ◽

And Cluster Analysis

AbstractThe purpose of this study was to analyse Italian high school and university students’ attitudes towards physics using the Semiotic Cultural Psychological Theory (SCPT). In the SCPT framework, attitudes represent how individuals interpret their experience through the mediation of generalized meaning with which they are identified. A view-of-physics questionnaire was used as an instrument to collect data with 1603 high school and university students. Data were analysed through multiple correspondence analysis and cluster analysis. We identified four generalized meanings of physics: (a) interesting and important for society; (b) a quite interesting, but badly taught subject at school and not completely useful for society; (c) difficult to study and irrelevant for society; and (d) a fascinating and protective niche from society. The identified generalized meanings are significantly correlated to the choice to study physics at undergraduate level and to the choice of attending physics-related activities in high school. Implications for research are discussed.

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Effectiveness of mass treatment of Schistosoma mansoni infection in socially vulnerable areas of a state in northeastern Brazil, 2011–2014

Archives of Public Health ◽

10.1186/s13690-021-00549-9 ◽

2021 ◽

Vol 79 (1) ◽

Author(s):

Flávia Silvestre Outtes Wanderley ◽

Ulisses Montarroyos ◽

Cristine Bonfim ◽

Carolina Cunha-Correia

Keyword(s):

Schistosoma Mansoni ◽

Correspondence Analysis ◽

Social Vulnerability ◽

Multiple Correspondence Analysis ◽

Vulnerability Index ◽

Two Dimensions ◽

Northeastern Brazil ◽

Mass Treatment ◽

Social Vulnerability Index ◽

Treatment Information

Abstract Background To assess the effectiveness of mass treatment of Schistosoma mansoni infection in socially vulnerable endemic areas in northeastern Brazil. Method An ecological study was conducted, in which 118 localities in 30 municipalities in the state of Pernambuco were screened before 2011 and in 2014 (after mass treatment). Information on the endemic baseline index, mass treatment coverage, socio-environmental conditions and social vulnerability index were used in the multiple correspondence analysis. One hundred fourteen thousand nine hundred eighty-seven people in 118 locations were examined. Results The first two dimensions of the multiple correspondence analysis represented 55.3% of the variability between locations. The human capital component of the social vulnerability index showed an association with the baseline endemicity index. There was a significant reduction in positivity for schistosomes. For two rounds, for every extra 1% of initial endemicity index, the fixed effect of 13.62% increased by 0.0003%, achieving at most 15.94%. Conclusions The mass treatment intervention helped to reduce transmission of schistosomiasis in areas of high endemicity. Thus, it can be recommended that application of mass treatment should be accompanied by other control actions, such as basic sanitation, monitoring of intermediate vectors and case surveillance.

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