Dear MARMAM colleagues,

On behalf of my co-authors, I am pleased to share our new publication in Marine Mammal Science:

Plard, F. / Araújo, H. E. F. / Astarloa, A. / Saavedra, C. / Vazquez Bonales, J. A. / Authier, M.

In this publication, we developed and encoded in our R package 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) focusing on cetaceans in the Bay of Biscay.

If you have any questions about our work, please reach out.

Cheers,

Matthieu Authier

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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/
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