Dear MARMAM colleagues,
On behalf of my co-authors, I am pleased to share our new publication in
Marine Mammal Science:
Plard, F. <https://florianeplard.com/> / Araújo, H. E. F. / Astarloa, A.
/ Saavedra, C. / Vazquez Bonales, J. A. / Authier, M.
Using Fusion Effects to Decrease Uncertainty in Distance Sampling Models
when Collating Data from Different Surveys
<https://onlinelibrary.wiley.com/share/author/DZGJHVJASJKVAQEDEARA?target=10.1111/mms.13104>
In this publication, we developed and encoded in our R package AMBIdsm
<https://gitlab.univ-lr.fr/pelaverse/AMBIdsm> some functionalities,
leveraging the probabilistic programming language Nimble, to perform a
joint estimation and clustering of detection functions when analyzing
distance sampling data from several surveys over a region. The
clustering is achieved over species and survey platform, and can also
accommodate important covariates such as Beaufort scale or platform
height. This clustering allows to account for between-species and
between-survey heterogeneity with data-driven pooling. We show case the
gain in esw estimates both a in a simulation study and in a real case
study (a part of the CetAMBICion project
<https://www.cetambicion-project.eu/?lang=en>) focusing on cetaceans in
the Bay of Biscay.
If you have any questions about our work, please reach out.
Cheers,
Matthieu Authier
--
Matthieu Authier - Ingénieur de Recherche
La Rochelle Université
Observatoire Pelagis UAR 3462 CNRS-LRUniv
5 allée de l'océan 17 000 La Rochelle
telephone: +00 33 (0)7 77 22 32 67 (remote-working/télé-travail)
https://www.observatoire-pelagis.cnrs.fr/pelagis-2/lequipe/matthieu-authier/
Try again. Fail again. Fail better. (Samuel Beckett)
Verzögerungen im Betriebsablauf (Deutsche Bahn)
🍍 🦉🐛
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