Novel methods improve prediction of species ’ distributions from occurrence data

@inproceedings{Elith2006NovelMI,
  title={Novel methods improve prediction of species ’ distributions from occurrence data},
  author={Jane Elith and Catherine H. Graham and Robert P Anderson and Miroslav Dudı́k and Simon Ferrier and Antoine Guisan and Robert Hijmans and Falk Huettmann and John R. Leathwick and Anthony Lehmann and Jin Li and L{\'u}cia G. Lohmann and Bette A. Loiselle and Glenn Manion and Craig C Moritz and Miguel Nakamura and Yoshinori Nakazawa and Jacob McC. Overton and A. Townsend Peterson and S. J. Phillips and Karen Pagano Richardson and Ricardo Scachetti-Pereira and Robert E. Schapire and J Sober{\'o}n and Stephen C. R. Williams and Mary Susanne Wisz},
  year={2006}
}
Jane Elith*, Catherine H. Graham*, Robert P. Anderson, Miroslav Dudı́k, Simon Ferrier, Antoine Guisan, Robert J. Hijmans, Falk Huettmann, John R. Leathwick, Anthony Lehmann, Jin Li, Lucia G. Lohmann, Bette A. Loiselle, Glenn Manion, Craig Moritz, Miguel Nakamura, Yoshinori Nakazawa, Jacob McC. Overton, A. Townsend Peterson, Steven J. Phillips, Karen Richardson, Ricardo Scachetti-Pereira, Robert E. Schapire, Jorge Soberón, Stephen Williams, Mary S. Wisz and Niklaus E. Zimmermann 

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References

Publications referenced by this paper.
SHOWING 1-10 OF 110 REFERENCES

Predicting species distribution using presence - only data : a case study of native New Zealand ferns

  • A. E. Zaniewski, A. Lehmann, J. M. Overton
  •  / J . Veg . Sci .
  • 2002
Highly Influential
8 Excerpts

The GARP modelling

  • D. Stockwell, D. Peters
  • J. R. Stat. Soc. Ser. B
  • 1999
Highly Influential
3 Excerpts

An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity

  • S. Ferrier, G. Watson
  • / Environment Australia, Canberra, B/http://
  • 1997
Highly Influential
5 Excerpts

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