@inproceedings{fdi:010072118,
  title = {{S}emi-{M}arkov model for the inference of the trajectories of fishing boats : application to the {VMS} data of the {F}rench and pelagic tuna fleet of the {ZEEM} [r{\'e}sum{\'e}]},
  author = {{D}edah, {A}.{B}. and {B}ez, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{A}nalysis of {VMS} data could provide a reliable alternative for conducting pelagic stock assessments. {F}or example, the fisheries community has been preparing {GPS} data for fishing vessels for some years. {F}or the most part, the methods developed here are based on {M}arkovian or semi-{M}arkovian hierarchical models. {T}his allowed us to show the informative potential of the {VMS} data. {O}nce trajectories have been interpreted, these trajectories can be used to fine-tune fishing activities, as well as fish research activities when these phases are important for the trades concerned (large and small pelagics, for example). {I}n this work, two semi-{M}arkov models hidden to three and then five states were set up and validated using observational data to model the trajectories of tuna vessels in the {A}tlantic and {I}ndian {O}ceans. {T}hese models yielded an estimate of the actual fishing effort deployed by the fleets concerned.},
  keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {ATLANTIQUE} ; {OCEAN} {INDIEN}},
  numero = {},
  pages = {59},
  booktitle = {{I}nternational conference {ICAWA} 2016 : extended book of abstract : the {AWA} project : ecosystem approach to the management of fisheries and the marine environment in {W}est {A}frican waters},
  year = {2017},
  ISBN = {978-2-9553602-0-5},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072118},
}