<p>These two axes represent 73.4% of the total variation in the correlation matrix. Independent variables listed on each axis indicate variables with significant eigenvector loadings. Abbreviations for variables are listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0010835#pone-0010835-t002" target="_blank">Table 2</a>. Mean <i>S. planifrons</i> densities are given for each site (<i>n</i> = 6 transects per site).</p
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>PCA1 = site scores obtained by PCA ordination over a matrix of land-use types surrounding the fr...
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
<p>In the row for each variable, numbers indicate the strength of correlation of that variable with ...
<p>Loading plots of the eigenvector coefficients of each feature analyzed by PCA show the influence ...
<p>Sites scores are weighted sums of species scores and scaled proportional to eigenvalues. Species ...
<p>For each axis, each symbol denotes the four quartiles of site coordinates: large white dots (firs...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<p>Correlation coefficients indicating covariation among many site characteristics.</p
<p>A shows the frequency distribution of correlation coefficients (X axis) of spatial correlation be...
<p>Correlation coefficients across the distribution area of Aleppo pine calculated by using the mult...
<p><b>(A)</b> PCA <i>t1</i>/<i>t2</i> score scatter (N = 18, R<sup>2</sup>X [<a href="http://www.plo...
<p>Samples are projected onto the plane formed by the first two principal axes. The first factor exp...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>PCA1 = site scores obtained by PCA ordination over a matrix of land-use types surrounding the fr...
<p>Scatterplot of the scores along the first two principal coordinate axes – explaining 25.72% and 1...
<p>Variables with correlation coefficients higher than 0.50 are highlighted in bold.</p
<p>In the row for each variable, numbers indicate the strength of correlation of that variable with ...
<p>Loading plots of the eigenvector coefficients of each feature analyzed by PCA show the influence ...
<p>Sites scores are weighted sums of species scores and scaled proportional to eigenvalues. Species ...
<p>For each axis, each symbol denotes the four quartiles of site coordinates: large white dots (firs...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<p>Correlation coefficients indicating covariation among many site characteristics.</p
<p>A shows the frequency distribution of correlation coefficients (X axis) of spatial correlation be...
<p>Correlation coefficients across the distribution area of Aleppo pine calculated by using the mult...
<p><b>(A)</b> PCA <i>t1</i>/<i>t2</i> score scatter (N = 18, R<sup>2</sup>X [<a href="http://www.plo...
<p>Samples are projected onto the plane formed by the first two principal axes. The first factor exp...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
<p>After varimax raw rotation, highly significant loading factors of the variables on the PCA axes a...
<p>PCA1 = site scores obtained by PCA ordination over a matrix of land-use types surrounding the fr...