Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a Canadian Arctic fishery

TY - JOUR

T1 - Spatiotemporal modeling of bycatch data

T2 - methods and a practical guide through a case study in a Canadian Arctic fishery

AU - Yan, Yuan

AU - Cantoni, Eva

AU - Field, Chris

AU - Treble, Margaret

AU - Flemming, Joanna Mills

N1 - Funding Information: This research was carried out as part of a Collaborative Research Team Project titled “Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data” led by J.M.F. and funded by the Canadian Statistical Sciences Institute (CANSSI). Funding Information: This research was carried out as part of a Collaborative Research Team Project titled ?Towards Sustainable Fisheries: State Space Assessment Models for Complex Fisheries and Biological Data? led by J.M.F. and funded by the Canadian Statistical Sciences Institute (CANSSI). Publisher Copyright: © Canadian Science Publishing. All rights reserved.

PY - 2022

Y1 - 2022

UR - http://www.scopus.com/inward/record.url?scp=85122479403&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85122479403&partnerID=8YFLogxK

U2 - 10.1139/cjfas-2020-0267

DO - 10.1139/cjfas-2020-0267

M3 - Article

AN - SCOPUS:85122479403

SN - 0706-652X

VL - 79

SP - 148

EP - 158

JO - Canadian Journal of Fisheries and Aquatic Sciences

JF - Canadian Journal of Fisheries and Aquatic Sciences

IS - 1

ER -