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3.
Figure 4

Figure 4. Kappa values of models for the four pseudo-absence selection methods and two species datasets.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

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

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
4.
Figure 2

Figure 2. Pseudo-absence points from the four pseudo-absence selection methods.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

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

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
5.
Figure 5

Figure 5. The effect of pseudo-absence selection method on mean specificity and sensitivity values.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

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

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
6.
Figure 9

Figure 9. Habitat suitability prediction for Asian tiger mosquito (A. albopictus) in New Zealand.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

(A), SM1 pseudo-absences with model NNET (B) 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 = 0.4<p<0.5, moderate = 0.5<p<0.7, high = 0.7<p<0.9, very high = p>0.9.

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
7.
Figure 8

Figure 8. Global habitat suitability prediction for Western corn rootworm (D. v. virgifera).. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

(A), SM1 pseudo-absences with model NNET (B) 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 = 0.4<p<0.5, moderate = 0.5<p<0.7, high = 0.7<p<0.9, very high = p>0.9.

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
8.
Figure 10

Figure 10. Habitat suitability prediction for Western corn rootworm (D. v. virgifera) in New Zealand.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

(A), SM1 pseudo-absences with model NNET (B) 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 = 0.4<p<0.5, moderate = 0.5<p<0.7, high = 0.7<p<0.9, very high = p>0.9.

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
9.
Figure 7

Figure 7. Global habitat suitability prediction for Asian tiger mosquito (A. albopictus).. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

(A), SM1 pseudo-absences with model NNET (B) SM2 pseudo-absences with model KNN (C), SM3 pseudo-absences with model NNET (D) SM4 pseudo-absences with model SVM. Note: A. albopictus occurrence data is too dense to overlay on prediction map, refer to . Legend key: not suitable = p<0.4, low = 0.4<p<0.5, moderate = 0.5<p<0.7, high = 0.7<p<0.9, very high = p>0.9.

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.
10.
Figure 3

Figure 3. Variation of mean AUC values due to model type, pseudo-absence selection method and number and structure of presence data.. From: Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling.

Error bars indicate standard errors over replicates. Bars with same letters within a graph are not significantly different (Tukey’s HSD test p>0.05). (A) model type, (B) pseudo-absence selection method, and, (C) species dataset.

Senait D. Senay, et al. PLoS One. 2013;8(8):e71218.

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