Interactive figures representing the floral morphospaces (Principal Component Analyses; PCA), providing the opportunity to identify the position of species and individual pictures on the plot and to zoom in for better visualization
Circles represent young (7-weeks-old) plants while older (13-weeks-old) plants are represented by tr...
Font color inherits the arrow color (default). Font colors can be adjusted in the plots. Sizes of th...
<p>(A) Petal shape by variation along the first four PCs of the carnation petal shape model, PC1 to ...
Principal component analysis (PCA) scatterplots based on optimal character combinations for each of ...
Based on Euclidian distance, principal component analysis (PCA)-3D graphical association between the...
<p>PCA of basic geometric forms and select mollusks to heuristically explore the properties of surfa...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
The figure shows the first two principal components after merging the acquired datasets. The samples...
<p>Samples are displayed in respect to the first three components and are colored with respect to di...
Principal component analysis (PCA) of specimens of Peperomia segregata and Peperomia glabella and va...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>(A) Petal shape by variation along the first four PCs of the carnation petal shape model, pc1 to ...
<p>Scatterplot is of components 1, 3, and 4. <i>Pan</i> is represented by pink solid squares, <i>Gor...
Background: Variation in floral shapes has long fascinated biologists and its modelling enables test...
Principal component analysis is a versatile statistical method for reducing a cases-by-variables da...
Circles represent young (7-weeks-old) plants while older (13-weeks-old) plants are represented by tr...
Font color inherits the arrow color (default). Font colors can be adjusted in the plots. Sizes of th...
<p>(A) Petal shape by variation along the first four PCs of the carnation petal shape model, PC1 to ...
Principal component analysis (PCA) scatterplots based on optimal character combinations for each of ...
Based on Euclidian distance, principal component analysis (PCA)-3D graphical association between the...
<p>PCA of basic geometric forms and select mollusks to heuristically explore the properties of surfa...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
The figure shows the first two principal components after merging the acquired datasets. The samples...
<p>Samples are displayed in respect to the first three components and are colored with respect to di...
Principal component analysis (PCA) of specimens of Peperomia segregata and Peperomia glabella and va...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>(A) Petal shape by variation along the first four PCs of the carnation petal shape model, pc1 to ...
<p>Scatterplot is of components 1, 3, and 4. <i>Pan</i> is represented by pink solid squares, <i>Gor...
Background: Variation in floral shapes has long fascinated biologists and its modelling enables test...
Principal component analysis is a versatile statistical method for reducing a cases-by-variables da...
Circles represent young (7-weeks-old) plants while older (13-weeks-old) plants are represented by tr...
Font color inherits the arrow color (default). Font colors can be adjusted in the plots. Sizes of th...
<p>(A) Petal shape by variation along the first four PCs of the carnation petal shape model, PC1 to ...
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