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A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags.
Jonsen, Ian D; Patterson, Toby A; Costa, Daniel P; Doherty, Philip D; Godley, Brendan J; Grecian, W James; Guinet, Christophe; Hoenner, Xavier; Kienle, Sarah S; Robinson, Patrick W; Votier, Stephen C; Whiting, Scott; Witt, Matthew J; Hindell, Mark A; Harcourt, Robert G; McMahon, Clive R.
Afiliação
  • Jonsen ID; Dept of Biological Sciences, Macquarie University, Sydney, Australia.
  • Patterson TA; CSIRO Oceans and Atmosphere, Hobart, Australia.
  • Costa DP; Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, USA.
  • Doherty PD; Environment and Sustainability Institute, University of Exeter, Penryn, UK.
  • Godley BJ; Environment and Sustainability Institute, University of Exeter, Penryn, UK.
  • Grecian WJ; Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, St Andrews, UK.
  • Guinet C; CNRS, Chize, France.
  • Hoenner X; CSIRO Oceans and Atmosphere, Hobart, Australia.
  • Kienle SS; Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, USA.
  • Robinson PW; Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, USA.
  • Votier SC; Environment and Sustainability Institute, University of Exeter, Penryn, UK.
  • Whiting S; Department of Biodiversity, Conservation and Attractions, Government of Western Australia, Kensington, Australia.
  • Witt MJ; Environment and Sustainability Institute, University of Exeter, Penryn, UK.
  • Hindell MA; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.
  • Harcourt RG; Dept of Biological Sciences, Macquarie University, Sydney, Australia.
  • McMahon CR; Sydney Institute of Marine Science, Mosman, Australia.
Mov Ecol ; 8: 31, 2020.
Article em En | MEDLINE | ID: mdl-32695402

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article