Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a canadian arctic fishery
ContributorsYan, Yuan; Cantoni, Eva ; Field, Chris; Treble, Margaret A; Mills Flemming, Joanna
Published inCanadian Journal of Fisheries and Aquatic Sciences, vol. 79, no. 1, p. 148-158
Publication date2022
Abstract
Keywords
- Bycatch
- Gaussian random field
- Geostatistics
- Semi-continuous data
- Two-part20model
- TMB
Citation (ISO format)
YAN, Yuan et al. Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a canadian arctic fishery. In: Canadian Journal of Fisheries and Aquatic Sciences, 2022, vol. 79, n° 1, p. 148–158. doi: 10.1139/cjfas-2020-0267
Main files (1)
Article (Submitted version)
Identifiers
- PID : unige:152640
- DOI : 10.1139/cjfas-2020-0267
Commercial URLhttps://cdnsciencepub.com/doi/10.1139/cjfas-2020-0267
ISSN of the journal1205-7533