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

Conservation Biology

Volumn 32, Issue 4, 2018, Pages 762-764

  Cheng, S H ^a   Augustin, C ^b   Bethel, A ^c   Gill, D ^d,e   Anzaroot, S ^b   Brun, J ^a   DeWilde, B ^b   Minnich, R C ^b   Garside, R ^c   Masuda, Y J ^f   Miller, D C ^g   Wilkie, D ^h   Wongbusarakum, S ⁱ   McKinnon, M C ^j  

^a NATIONAL CENTER FOR ECOLOGICAL ANALYSIS AND SYNTHESIS   (United States)

^b DataKind   (United States)

^c UNIVERSITY OF EXETER MEDICAL SCHOOL   (United Kingdom)

^d Betty and Gordon Moore Center for Science and Oceans   (United States)

^e GEORGE MASON UNIVERSITY   (United States)

^f THE NATURE CONSERVANCY   (United States)

^g UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^h WILDLIFE CONSERVATION SOCIETY   (United States)

ⁱ UNIVERSITY OF HAWAII   (United States)

^j VULCAN INC   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ENVIRONMENTAL PROTECTION; MACHINE LEARNING;

ALGORITHMS; CONSERVATION OF NATURAL RESOURCES; MACHINE LEARNING;

EID: 85050032223     PISSN: 08888892     EISSN: 15231739     Source Type: Journal    
DOI: 10.1111/cobi.13117     Document Type: Letter

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