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Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering.
Silva, Mónica A; Jonsen, Ian; Russell, Deborah J F; Prieto, Rui; Thompson, Dave; Baumgartner, Mark F.
Afiliación
  • Silva MA; Center of the Institute of Marine Research (IMAR) and Department of Oceanography and Fisheries, University of the Azores, Horta, Portugal; Laboratory of Robotics and Systems in Engineering and Science (LARSyS), Lisbon, Portugal; Biology Department, Woods Hole Oceanographic Institution, Woods Hole, M
  • Jonsen I; Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Russell DJ; Sea Mammal Research Unit, Scottish Oceans Institute, University of St. Andrews, St. Andrews, United Kingdom; Centre for Research into Ecological and Environmental Modelling, University of St. Andrews, St. Andrews, United Kingdom.
  • Prieto R; Center of the Institute of Marine Research (IMAR) and Department of Oceanography and Fisheries, University of the Azores, Horta, Portugal; Laboratory of Robotics and Systems in Engineering and Science (LARSyS), Lisbon, Portugal.
  • Thompson D; Sea Mammal Research Unit, Scottish Oceans Institute, University of St. Andrews, St. Andrews, United Kingdom.
  • Baumgartner MF; Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America.
PLoS One ; 9(3): e92277, 2014.
Article en En | MEDLINE | ID: mdl-24651252

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Telemetría / Algoritmos / Comunicaciones por Satélite / Migración Animal / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Telemetría / Algoritmos / Comunicaciones por Satélite / Migración Animal / Modelos Teóricos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2014 Tipo del documento: Article