<p>Shown are AUC values for models using points from the west (W) or the east (E); the percentage of the total study area predicted to be over the balance threshold; and the p-values for one-tailed binomial tests between the number of test points predicted to be suitable for the species and the fractional predicted area over the balance threshold. P-values in bold indicate models that performed significantly better than random; that is, significantly more test points were predicted to be suitable for the species than expected based on the fraction of the total area predicted to be suitable. W>E = western points were used for training, eastern for testing; E>W = eastern points were used for training, and western for testing.</p
<p>Species richness (with proportion of total richness) of the 3 types are shown: positive, negative...
Aim The proportion of sampled sites where a species is present is known as prevalence. Empirical stu...
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others t...
*<p>The binomial test compares model performance to random performance, whereas the Wilcoxon signed ...
Predicting species’ potential geographical range by species distribution models (SDMs) is central to...
Distribution models are used to predict the likelihood of occurrence or abundance of a species at lo...
<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the ent...
<p>Fractional predicted area and <i>p</i>-values of binomial tests from the Maxent model of spinner ...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
<p>Performance of individual models (boxplots) showing the AUC<sub>median</sub>, two hinges (first a...
<p>The positive and negative rates show the models ability to correctly predict presence and absence...
<p>Summary of results of binomial tests of model predictions at 50 km and 200 km extents.</p
<p>Three spatial predictions denoting the density of large, medium and small fish were created for b...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
<p>Dots show the mean predictive accuracy across species and split-sample bouts.</p
<p>Species richness (with proportion of total richness) of the 3 types are shown: positive, negative...
Aim The proportion of sampled sites where a species is present is known as prevalence. Empirical stu...
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others t...
*<p>The binomial test compares model performance to random performance, whereas the Wilcoxon signed ...
Predicting species’ potential geographical range by species distribution models (SDMs) is central to...
Distribution models are used to predict the likelihood of occurrence or abundance of a species at lo...
<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the ent...
<p>Fractional predicted area and <i>p</i>-values of binomial tests from the Maxent model of spinner ...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
<p>Performance of individual models (boxplots) showing the AUC<sub>median</sub>, two hinges (first a...
<p>The positive and negative rates show the models ability to correctly predict presence and absence...
<p>Summary of results of binomial tests of model predictions at 50 km and 200 km extents.</p
<p>Three spatial predictions denoting the density of large, medium and small fish were created for b...
<p>These graphs show the strength of association (as test AUC) between each species’ presence and in...
<p>Dots show the mean predictive accuracy across species and split-sample bouts.</p
<p>Species richness (with proportion of total richness) of the 3 types are shown: positive, negative...
Aim The proportion of sampled sites where a species is present is known as prevalence. Empirical stu...
A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others t...