Weather and Trap Response of the Dasyurid Marsupials Sminthopsis-Crassicaudata, Planigale-Gilesi and Planigale-Tenuirostris

1988 ◽  
Vol 15 (2) ◽  
pp. 139 ◽  
Author(s):  
DG Read
Keyword(s):  
Relative Humidity ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Strong Influence ◽  
Arid Environment ◽  
Air Pressure ◽  
Weather Variables ◽  
Light Rain ◽  
Sminthopsis Crassicaudata

Daily captures of Sminthopsis crassicaudata, Planigale gilesi and P. tenuirostris have been analysed with respect to weather variables in an arid environment. Numbers of S. crassicaudata caught in traps were not affected by changes in air pressure but more (P=0.01) P. gilesi and P. tenuirostris were trapped when the air pressure was increasing from a level below the monthly mean. Light rain increased the numbers of all species trapped (P=0.05) but moonlight had no effect. A canonical correlation analysis separated Sminthopsis from Planigale on the basis of responses to temperature and relative humidity variables. It is not clear if the trap responses of the dasyurids are directly related to the weather or other contemporary factors, particularly food availability. Results indicate that weather has a strong influence on the trap success of small mammal studies in arid Australia.

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.

Sign in / Sign up

Export Citation Format

Share Document