<p>Sites scores are weighted sums of species scores and scaled proportional to eigenvalues. Species are un-scaled with weighted dispersion equal on all dimensions. Variables include Total Basal Area, Total Seedling Density, Pine Stem Density, Pine Sapling Density, and Percent Over-story Canopy Cover. Sites: 1–5 represent successful nests, sites: 6–8 represent failed nests and sites: 9–16 represent random plots.</p
<p>Principal component analysis (PCA) based on trunk sprouts in natural sites (NH) and disturbed sit...
<p>The first two principal component axes are displayed. Sites are coded according to: (a) the areal...
<p>Principal component analysis (α = 0.05) showing linear patterns of a wide range of variables acro...
Attention is drawn to some useful but not generally known properties of principal components analysi...
<p>Sites are displayed as distance in meters from forest (0 for forest sites). Forest and oil palm s...
<p>Habitat component 1 separates sites according to condition, ranging from ‘intact’ (more negative ...
PCA scores for the first two principle components (PC1 and PC2) of habitat metrics for all watershed...
<p>Axis 1 (horizontal) = 94.0% of variance explained, axis 2 (vertical) = 6.0%. Acronyms of the thre...
<p>These two axes represent 73.4% of the total variation in the correlation matrix. Independent vari...
<p>Relationship of individual bird sites (displayed by park unit) identified as shrubland habitat (s...
<p>Principal Component Analysis Bi-plot graph. Each dot represents an animal in the study and triang...
<p>Loadings for the skill metrics are shown in red while scores for the species, catches and indicat...
<p>Three occurrence clouds in the PCA graph are each outlined with a 1.5 inertia ellipse. The divisi...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Vectors are overlaid to represent the different environmental variables most important in each mo...
<p>Principal component analysis (PCA) based on trunk sprouts in natural sites (NH) and disturbed sit...
<p>The first two principal component axes are displayed. Sites are coded according to: (a) the areal...
<p>Principal component analysis (α = 0.05) showing linear patterns of a wide range of variables acro...
Attention is drawn to some useful but not generally known properties of principal components analysi...
<p>Sites are displayed as distance in meters from forest (0 for forest sites). Forest and oil palm s...
<p>Habitat component 1 separates sites according to condition, ranging from ‘intact’ (more negative ...
PCA scores for the first two principle components (PC1 and PC2) of habitat metrics for all watershed...
<p>Axis 1 (horizontal) = 94.0% of variance explained, axis 2 (vertical) = 6.0%. Acronyms of the thre...
<p>These two axes represent 73.4% of the total variation in the correlation matrix. Independent vari...
<p>Relationship of individual bird sites (displayed by park unit) identified as shrubland habitat (s...
<p>Principal Component Analysis Bi-plot graph. Each dot represents an animal in the study and triang...
<p>Loadings for the skill metrics are shown in red while scores for the species, catches and indicat...
<p>Three occurrence clouds in the PCA graph are each outlined with a 1.5 inertia ellipse. The divisi...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Vectors are overlaid to represent the different environmental variables most important in each mo...
<p>Principal component analysis (PCA) based on trunk sprouts in natural sites (NH) and disturbed sit...
<p>The first two principal component axes are displayed. Sites are coded according to: (a) the areal...
<p>Principal component analysis (α = 0.05) showing linear patterns of a wide range of variables acro...