Novel methods improve prediction of species' distributions from occurrence data
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Cites methods from "Novel methods improve prediction of..."
...The optimal number of trees was found with 10 fold cross-validation using the methods of Elith et al.(2008) 106 ....
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...For parameters 2-5, we follow Elith et al. (2008) 106 in setting the interaction depth K equal to 4, the stochastic subsampling proportion π equal to 0....
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6,199 citations
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...A recent comprehensive comparison of presence-only modeling techniques (Elith et al. 2006) found that some new methods have better predictive accuracy than the established methods....
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...Species occurrence data and environmental predictors We used a comprehensive collection of data developed by a working group at the National Center for Ecological Analysis and Synthesis (NCEAS) as part of a large-scale comparison of species distribution modeling methods (Elith et al. 2006)....
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...For more details, see Elith et al. (2006)....
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...…parameter settings developed in this study were used (without hinge features or logistic output, which came later) in the modeling comparison of Elith et al. (2006), and we feel that our careful parameter tuning, especially for small sample sizes, contributed to Maxent’s good showing in that…...
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...First, we explore tuning of Maxent settings with the comprehensive dataset used by Elith et al. (2006)....
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5,076 citations
Cites background from "Novel methods improve prediction of..."
...Reviews and comparisons include Franklin (2009) and Elith et al. (2006)....
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...As a consequence their predictive performance may exceed that of more conventional techniques (Elith et al. 2006)....
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4,787 citations
Cites background or methods from "Novel methods improve prediction of..."
...…as a problem in statistical modelling, our experience with BRT is that prediction to independent data is not compromised – indeed, it is generally superior to other methods (see e.g. comparisons with GLM, GAM and multivariate adaptive regression splines, Elith et al. 2006; Leathwick et al. 2006)....
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...A growing body of literature quantifies this difference in performance (Elith et al. 2006; Leathwick et al. 2006; Moisen et al. 2006)....
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References
40,785 citations
"Novel methods improve prediction of..." refers methods in this paper
...determining model complexity (Tibshirani 1996)....
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...For example, the ‘‘lasso,’’ used for regularization in MAXENT, can be applied to variable selection and coefficient estimation in regression (Hastie et al. 2001), and has been shown to perform better than stepwise selection for determining model complexity (Tibshirani 1996)....
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36,993 citations
34,965 citations
"Novel methods improve prediction of..." refers methods in this paper
...Kappa (Cohen 1960), which is a chance-corrected measure of agreement, is commonly used in ecological studies with presence-absence data....
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19,398 citations
"Novel methods improve prediction of..." refers methods in this paper
...AUC has been used extensively in the species’ distribution modelling literature, and measures the ability of a model to discriminate between sites where a species is present, versus those where it is absent (Hanley and McNeil 1982)....
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...Standards errors were calculated with the methods of Hanley and McNeil (1982)....
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19,261 citations