Pseudo-absence points from the four pseudo-absence selection methods.

<p>Pseudo-absence points plotted with presence points on the first three principal components of the training dataset (Species: <i>D. v. virgifera),</i> (A) SM1, (B) SM2, (C) SM3, and (D) SM4.</p

Kappa values of models for the four pseudo-absence selection methods and two species datasets.

<p><i>Aa = A. albopictus</i>, Dvv = <i>D. v. virgifera</i>, values above the red broken line are in the excellent band of the kappa index.</p

Habitat suitability prediction for Western corn rootworm (<i>D. v. virgifera</i>) in New Zealand.

<p><i>(A)</i>, SM1 pseudo-absences with model NNET <i>(B)</i> SM2 pseudo-absences with model NB (C), SM3 pseudo-absences with model CART (D) SM4 pseudo-absences with model KNN. Legend key: not suitable = p<0.4, low = 0.40.9.</p

Habitat suitability prediction for Asian tiger mosquito (<i>A. albopictus</i>) in New Zealand.

<p><i>(A)</i>, SM1 pseudo-absences with model NNET <i>(B)</i> SM2 pseudo-absences with model KNN (C), SM3 pseudo-absences with model NNET (D) SM4 pseudo-absences with model SVM. Legend key: not suitable = p<0.4, low = 0.40.9.</p

List of variables selected using four pseudo-absence selection methods for the two target species.

*<p>aa = <i>Aedes albopictus</i>, dvv = <i>Diabrotica v. virgifera</i>, SM1 = random pseudo-absence selection method, SM2 = spatially constrained random pseudo-absence selection method, SM3 = 2-step environmental profiling pseudo-absence selection method, SM4 = 3-step environmental profiling with spatial constraint pseudo-absence selection method.</p

Map of global presence data for <i>A. albopictus</i> and <i>D. v. virgifera.</i>

<p>Map of global presence data for <i>A. albopictus</i> and <i>D. v. virgifera.</i></p

Percentages of predicted presences and respective model consensus on predictions in New Zealand.

<p>(A), Asian tiger mosquito (<i>A. albopictus).</i> (B), Western corn rootworm (<i>D. v. virgifera</i>).</p

Global habitat suitability prediction for Asian tiger mosquito (<i>A. albopictus</i>).

<p>(A), SM1 pseudo-absences with model NNET <i>(B)</i> SM2 pseudo-absences with model KNN (C), SM3 pseudo-absences with model NNET (D) SM4 pseudo-absences with model SVM. Note: <i>A. albopictus</i> occurrence data is too dense to overlay on prediction map, refer to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0071218#pone-0071218-g001" target="_blank">Figure 1</a>. Legend key: not suitable = p<0.4, low = 0.40.9.</p

Model performance indices.

*<p>ROC: Receiver operating characteristic.</p

The effect of pseudo-absence selection method on mean specificity and sensitivity values.

<p>Error bars indicate standard errors. Bars with same letters are not significantly different (Tukey’s HSD test p>0.05), (A) specificity (B) sensitivity.</p