On estimating probability of presence from use-availability or presence-background data von Phillips, Steven J., Elith, Jane

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POC plots: calibrating species distribution models with presence-only data von Phillips, Steven J, Elith, Jane

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working guide to boosted regression trees von Elith, J., Leathwick, J. R., Hastie, T.

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Managing landscapes for conservation under uncertainty von Burgman, M. A., Lindenmayer, D. B., Elith, J.

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Taxonomic uncertainty and decision making for biosecurity: spatial models for myrtle/guava rust von Elith, J., Simpson, J., Hirsch, M., Burgman, M. A.

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Modelling the distribution of Shorea leprosula in Kalimantan, Indonesia: a tool for conservation planning von Lestari, N S, Elith, J

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Evaluating 318 continental-scale species distribution models over a 60-year prediction horizon: what factors influence the reliability of predictions? von Morán-Ordóñez, Alejandra, Lahoz-Monfort, José J., Elith, Jane, Wintle, Brendan A.

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Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees von Leathwick, J. R., Elith, J., Francis, M. P., Hastie, T., Taylor, P.

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Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions von Leathwick, J.R., Elith, J., Hastie, T.

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Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models von Hao, Tianxiao, Elith, Jane, Lahoz‐Monfort, José J., Guillera‐Arroita, Gurutzeta

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Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities von Robinson, L. M., Elith, J., Hobday, A. J., Pearson, R. G., Kendall, B. E., Possingham, H. P., Richardson, A. J.

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Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish von LEATHWICK, J. R., ROWE, D., RICHARDSON, J., ELITH, J., HASTIE, T.

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Climate extreme variables generated using monthly time‐series data improve predicted distributions of plant species von Stewart, S. B., Elith, J., Fedrigo, M., Kasel, S., Roxburgh, S. H., Bennett, L. T., Chick, M., Fairman, T., Leonard, S., Kohout, M., Cripps, J. K., Durkin, L., Nitschke, C. R.

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A comparison of resampling methods for remote sensing classification and accuracy assessment von Lyons, Mitchell B., Keith, David A., Phinn, Stuart R., Mason, Tanya J., Elith, Jane

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What matters for predicting the occurrences of trees: Techniques, data, or species' characteristics? von Guisan, A, Zimmermann, N.E, Elith, J, Graham, C.H, Phillips, S, Peterson, A.T

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Dispersal, disturbance and the contrasting biogeographies of New Zealand's diadromous and non-diadromous fish species von Leathwick, J.R, Elith, J, Chadderton, W.L, Rowe, D, Hastie, T

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Is my species distribution model fit for purpose? Matching data and models to applications von Guillera-Arroita, Gurutzeta, Lahoz-Monfort, José J., Elith, Jane, Gordon, Ascelin, Kujala, Heini, Lentini, Pia E., McCarthy, Michael A., Tingley, Reid, Wintle, Brendan A.

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Use of generalised dissimilarity modelling to improve the biological discrimination of river and stream classifications von LEATHWICK, J.R, SNELDER, T, CHADDERTON, W.L, ELITH, J, JULIAN, K, FERRIER, S

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Forecasting species range dynamics with process‐explicit models: matching methods to applications von Briscoe, Natalie J., Elith, Jane, Salguero‐Gómez, Roberto, Lahoz‐Monfort, José J., Camac, James S., Giljohann, Katherine M., Holden, Matthew H., Hradsky, Bronwyn A., Kearney, Michael R., McMahon, Sean M., Phillips, Ben L., Regan, Tracey J., Rhodes, Jonathan R., Vesk, Peter A., Wintle, Brendan A., Yen, Jian D.L., Guillera‐Arroita, Gurutzeta, Early, Regan

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Maxent is not a presence–absence method: a comment on Thibaud et al von Guillera‐Arroita, Gurutzeta, Lahoz‐Monfort, José J., Elith, Jane, O'Hara, Robert B.

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