Topics
principal component analysis (PCA)Anatomical structure
FlosInsect
oceanographicOrganisation
GuipúzcoaPlace
los 40Agent
VascoAgent
SpainPlace
de 6Infrastructure
25 pages, 16 figures, 1 table[EN] A set of oceanographic data (13 variables, Table 1) taken between August-1976 and September-1977, at 9 stations (figure 1) on the shelf of Guipúzcoa (Euskadi, Spain) is studied by principal component analysis (PCA). [...][ES] A raíz del proyecto de construcción de 6 emisarios submarinos en los 40 km de costa de la provincia de Guipúzcoa (País Vasco, España), se llevó a cabo un estudio oceanográfico en dicha área (Flos et al., 1979). [...]Peer reviewe
<p>First PCA based on mean SST ranging from -1°C to 30°C. (<b>A</b>) First principal component (PC)....
In the framework of model complexity reduction, we investigate the ability of the principal componen...
<p>Dashed lines delimit the climatic clusters that group 10% of the explained variance by PC1 and PC...
<p>The (a) biogeochemical subprovinces of the Mediterranean Sea, as defined by the 5% threshold for ...
The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial...
The investigation of the ocean and the coastal zones plays an important role in climatological and e...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
Multivariate Principal Component Analysis (MPCA) is used to decompose a series of AVHRR SST maps an...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
13 pages, 12 figures, tables[EN] A principal component analysis was applied to some 600 particle cou...
<p>Principal coordinates analysis (PCA) of the nine measured environmental ...
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the varia...
<p>Diagram is established based on 10-m depth temperatures, 10-m depth salinity, and the average con...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
In this chapter we apply principal component analysis (PCA) to data on blubber fatty acid compositio...
<p>First PCA based on mean SST ranging from -1°C to 30°C. (<b>A</b>) First principal component (PC)....
In the framework of model complexity reduction, we investigate the ability of the principal componen...
<p>Dashed lines delimit the climatic clusters that group 10% of the explained variance by PC1 and PC...
<p>The (a) biogeochemical subprovinces of the Mediterranean Sea, as defined by the 5% threshold for ...
The tropical Atlantic Ocean exhibits several modes of interannual variability such as the equatorial...
The investigation of the ocean and the coastal zones plays an important role in climatological and e...
<p>Principal component analysis normalized environmental data from stations along the Ellett Line tr...
Multivariate Principal Component Analysis (MPCA) is used to decompose a series of AVHRR SST maps an...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
13 pages, 12 figures, tables[EN] A principal component analysis was applied to some 600 particle cou...
<p>Principal coordinates analysis (PCA) of the nine measured environmental ...
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the varia...
<p>Diagram is established based on 10-m depth temperatures, 10-m depth salinity, and the average con...
Plots of factor scores of principal component analysis of three populations of Corydoras undulatus. ...
In this chapter we apply principal component analysis (PCA) to data on blubber fatty acid compositio...
<p>First PCA based on mean SST ranging from -1°C to 30°C. (<b>A</b>) First principal component (PC)....
In the framework of model complexity reduction, we investigate the ability of the principal componen...
<p>Dashed lines delimit the climatic clusters that group 10% of the explained variance by PC1 and PC...
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