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

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

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., DeWilde, B., Minnich, R. C., Garside, R., Masuda, Y. J., Miller, D. C., Wilkie, D., Wongbusarakum, S., & 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