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scopus(2)
Sensitivity of pbkp_redictive species distribution models to change in grain size
ArticleAbstract: Pbkp_redictive species distribution modelling (SDM) has become an essential tool in biodiversity conPalabras 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