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Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees.
Becker, Elizabeth A; Carretta, James V; Forney, Karin A; Barlow, Jay; Brodie, Stephanie; Hoopes, Ryan; Jacox, Michael G; Maxwell, Sara M; Redfern, Jessica V; Sisson, Nicholas B; Welch, Heather; Hazen, Elliott L.
Afiliação
  • Becker EA; National Marine Fisheries Service National Oceanic and Atmospheric Administration Ocean Associates, Inc., Under Contract to Southwest Fisheries Science Center La Jolla CA USA.
  • Carretta JV; Institute of Marine Science University of California Santa Cruz Santa Cruz CA USA.
  • Forney KA; ManTech International Corporation Solana Beach CA USA.
  • Barlow J; Marine Mammal and Turtle Division Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration La Jolla CA USA.
  • Brodie S; Marine Mammal and Turtle Division Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Moss Landing CA USA.
  • Hoopes R; Moss Landing Marine Laboratories San Jose State University Moss Landing CA USA.
  • Jacox MG; Marine Mammal and Turtle Division Southwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration La Jolla CA USA.
  • Maxwell SM; Institute of Marine Science University of California Santa Cruz Santa Cruz CA USA.
  • Redfern JV; Environmental Research Division Southwest Fisheries Science Center Monterey CA USA.
  • Sisson NB; ManTech International Corporation Solana Beach CA USA.
  • Welch H; Environmental Research Division Southwest Fisheries Science Center Monterey CA USA.
  • Hazen EL; Physical Sciences Division Earth System Research Laboratory Boulder CO USA.
Ecol Evol ; 10(12): 5759-5784, 2020 Jun.
Article em En | MEDLINE | ID: mdl-32607189
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Ecol Evol Ano de publicação: 2020 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Ecol Evol Ano de publicação: 2020 Tipo de documento: Article País de publicação: Reino Unido