scholarly journals Feature of Phytoplankton Community and Canonical Correlation Analysis with Environmental Factors in Xiaoqing River Estuary in Autumn

2012 ◽  
Vol 37 ◽  
pp. 19-24 ◽  
Author(s):  
Fang Yan ◽  
Wang Yuhong ◽  
Liu Yihao ◽  
Xu Hua ◽  
Lv Zhenbo
Keyword(s):  
Environmental Factors ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Phytoplankton Community ◽  
River Estuary ◽  
Xiaoqing River Estuary

Relationships between environmental factors and morph polymorphism in Cepaea nemoralis, using canonical correlation analysis

Genome ◽  
1989 ◽  
Vol 32 (5) ◽  
pp. 908-912 ◽  
Author(s):  
A. Vicario ◽  
L. I. Mazón ◽  
A. Aguirre ◽  
A. Estomba ◽  
C. Lostao
Keyword(s):  
Environmental Factors ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Environmental Variable ◽  
Northern Spain ◽  
Canonical Correlations ◽  
Cepaea Nemoralis ◽  
Phenotype Distribution ◽  
Level Of Significance

The relationship between phenotype distribution of Cepaea nemoralis and environmental factors was investigated at 105 sites in northern Spain, using canonical correlation analysis. Two interpretable canonical correlations were identified between the phenotype and environmental variable groups at the 0.05 level of significance, and canonical loadings were determined for each set of variables. The first canonical correlation represents the association of unbanded phenotypes with rainy and cloudy sites and of the more banded phenotypes (five banded and fused bands) with high degrees of insolation and solar radiation. The second canonical correlation separates yellow from pink phenotypes, associating the former with warm places and the latter with sunny or rainy places. These results indicate that the darkening of the shell observed may be related with climatic selective forces acting in the passage from Green to Brown Iberia climatic regions.Key words: Cepaea nemoralis, polymorphism, climatic selection.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

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