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Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
View ORCID ProfileDavid W. Redding, View ORCID ProfileTim C. D. Lucas, View ORCID ProfileTim Blackburn, View ORCID ProfileKate E. Jones
doi: https://doi.org/10.1101/105742
David W. Redding
1Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Tim C. D. Lucas
1Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
2Big Data Institute, University of Oxford, Peter Medawar Building, South Parks Road, Oxford, OX1 3SY, United Kingdom.
Tim Blackburn
1Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
3Institute of Zoology, Zoological Society of London, Regent’s Park, London, NW1 4RY, United Kingdom.
Kate E. Jones
1Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
3Institute of Zoology, Zoological Society of London, Regent’s Park, London, NW1 4RY, United Kingdom.
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Posted February 06, 2017.
Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
David W. Redding, Tim C. D. Lucas, Tim Blackburn, Kate E. Jones
bioRxiv 105742; doi: https://doi.org/10.1101/105742
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