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scopus(4)
Effects of sample size on the performance of species distribution models
ArticleAbstract: A wide range of modelling algorithms is used by ecologists, conservation practitioners, and others tPalabras claves:ecological niche model, maxent, Model comparison, OM-GARP, sample size, species distribution modelAutores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Phillips S.J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusNovel methods improve prediction of species' distributions from occurrence data
ArticleAbstract: Prediction of species' distributions is central to diverse applications in ecology, evolution and coPalabras claves:Autores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Guisan A., H. Graham C., Huettmann F., J. Hijmans R., J. Phillips S., Lehmann A., Li J., Lohmann L.G., Manion G., McC. M. Overton J., Moritz C., Nakamura M., Nakazawa Y., P. Anderson R., R. Leathwick J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusSensitivity of predictive species distribution models to change in grain size
ArticleAbstract: Predictive species distribution modelling (SDM) has become an essential tool in biodiversity conservPalabras claves:Environmental grain, Model comparison, natural history collections, Niche-based modelling, Pbkp_redictive performance, Presence-only data, resolution, sample size, spatial scale, Species distribution modellingAutores:B. A. Loiselle, Dudík M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Lehmann A., Li J., Lohmann L.G., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Phillips S.J., Richardson K.S., Scachetti-Pereira R., Schapire R.E., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopusThe influence of spatial errors in species occurrence data used in distribution models
ArticleAbstract: 1. Species distribution modelling is used increasingly in both applied and theoretical research to pPalabras claves:ERROR, Geo-referencing, Locality points, Pbkp_redictive modelling algorithms, species distribution model, UNCERTAINTYAutores:Anderson R.P., B. A. Loiselle, Dudk M., Elith J., Ferrier S., Graham C.H., Guisan A., Huettmann F., J. Hijmans R., Leathwick J.R., Lehmann A., Li J., Lohmann L.G., Loiselle B., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J.M.C., Pereira R.S., Phillips S.J., Richardson K.S., Schapire R.E., Soberon J., Townsend Peterson A., Williams S.E., Wisz M.S., Zimmermann N.E.Fuentes:scopus