Using machine learning to advance synthesis and use of conservation and environmental evidence

Samantha Cheng, C. Augustin, A. Bethel, D. Gill, S. Anzaroot, J. Brun, B. DeWilde, R. C. Minnich, R. Garside, Y. J. Masuda, D. C. Miller, D. Wilkie, S. Wongbusarakum, M. C. McKinnon

Research output: Contribution to journalLetter

8 Citations (Scopus)
Original languageEnglish (US)
Pages (from-to)762-764
Number of pages3
JournalConservation Biology
Volume32
Issue number4
DOIs
StatePublished - Aug 1 2018
Externally publishedYes

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Conservation of Natural Resources
Machine Learning

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Nature and Landscape Conservation

Cite this

Cheng, S., Augustin, C., Bethel, A., Gill, D., Anzaroot, S., Brun, J., ... McKinnon, M. C. (2018). Using machine learning to advance synthesis and use of conservation and environmental evidence. Conservation Biology, 32(4), 762-764. https://doi.org/10.1111/cobi.13117

Using machine learning to advance synthesis and use of conservation and environmental evidence. / Cheng, Samantha; Augustin, C.; Bethel, A.; Gill, D.; Anzaroot, S.; Brun, J.; DeWilde, B.; Minnich, R. C.; Garside, R.; Masuda, Y. J.; Miller, D. C.; Wilkie, D.; Wongbusarakum, S.; McKinnon, M. C.

In: Conservation Biology, Vol. 32, No. 4, 01.08.2018, p. 762-764.

Research output: Contribution to journalLetter

Cheng, S, Augustin, C, Bethel, A, Gill, D, Anzaroot, S, Brun, J, DeWilde, B, Minnich, RC, Garside, R, Masuda, YJ, Miller, DC, Wilkie, D, Wongbusarakum, S & McKinnon, MC 2018, 'Using machine learning to advance synthesis and use of conservation and environmental evidence', Conservation Biology, vol. 32, no. 4, pp. 762-764. https://doi.org/10.1111/cobi.13117
Cheng, Samantha ; Augustin, C. ; Bethel, A. ; Gill, D. ; Anzaroot, S. ; Brun, J. ; DeWilde, B. ; Minnich, R. C. ; Garside, R. ; Masuda, Y. J. ; Miller, D. C. ; Wilkie, D. ; Wongbusarakum, S. ; McKinnon, M. C. / Using machine learning to advance synthesis and use of conservation and environmental evidence. In: Conservation Biology. 2018 ; Vol. 32, No. 4. pp. 762-764.
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