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

Cheng, S H; 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

Cheng, S H; 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.

Afiliación

Cheng SH; National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara. 735 State Street, Suite 300, Santa Barbara, CA 93101, U.S.A.
Augustin C; DataKind, 156 5th Avenue, Suit 502, New York, NY, 10010, U.S.A.
Bethel A; University of Exeter Medical School, Heavitree Road, Exeter, EX1 2LU, U.K.
Gill D; Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, U.S.A.
Anzaroot S; Environmental Science and Policy, George Mason University, Fairfax, VA 22030, U.S.A.
Brun J; DataKind, 156 5th Avenue, Suit 502, New York, NY, 10010, U.S.A.
DeWilde B; National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara. 735 State Street, Suite 300, Santa Barbara, CA 93101, U.S.A.
Minnich RC; DataKind, 156 5th Avenue, Suit 502, New York, NY, 10010, U.S.A.
Garside R; DataKind, 156 5th Avenue, Suit 502, New York, NY, 10010, U.S.A.
Masuda YJ; European Centre for Environment and Human Health, University of Exeter, Truro, Cornwall, TR1 3HD, U.K.
Miller DC; The Nature Conservancy, 4245 Fairfax Drive, Arlington, VA 22203, U.S.A.
Wilkie D; Department of Natural Resources and Environmental Sciences, University of Illinois, S-406 Turner Hall, 1102 S. Goodwin Avenue, Urbana, IL 61801, U.S.A.
Wongbusarakum S; Wildlife Conservation Society, 2300 Southern Boulevard, Bronx, NY 10460, U.S.A.
McKinnon MC; Social Science Research Institute, University of Hawaii, 2424 Maile Way #704, Honolulu, HI 96822, U.S.A.

Conserv Biol ; 32(4): 762-764, 2018 08.

Article en En | MEDLINE | ID: mdl-29644722

Asunto(s)

Conservación de los Recursos Naturales; Aprendizaje Automático; Algoritmos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conservación de los Recursos Naturales / Aprendizaje Automático Idioma: En Revista: Conserv Biol Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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