Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...

Two R scripts used for model selection and validation in the manuscript submitted to Proceedings of the Royal Society B in 2023 (“Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries”). The first script selects and describes the most appr...

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Bibliographic Details
Main Author: Glemarec, Gildas
Format: Article in Journal/Newspaper
Language:unknown
Published: Technical University of Denmark 2024
Subjects:
Online Access:https://dx.doi.org/10.11583/dtu.23301290
https://data.dtu.dk/articles/software/Bias-corrected_estimates_of_harbour_porpoise_bycatch_in_gillnet_fisheries/23301290
id ftdatacite:10.11583/dtu.23301290
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spelling ftdatacite:10.11583/dtu.23301290 2024-03-31T07:53:09+00:00 Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ... Glemarec, Gildas 2024 https://dx.doi.org/10.11583/dtu.23301290 https://data.dtu.dk/articles/software/Bias-corrected_estimates_of_harbour_porpoise_bycatch_in_gillnet_fisheries/23301290 unknown Technical University of Denmark https://github.com/gildas-glemarec/bias-corrected-estimates-of-harbour-porpoise-bycatch-in-gillnet-fisheries https://github.com/gildas-glemarec/bias-corrected-estimates-of-harbour-porpoise-bycatch-in-gillnet-fisheries https://dx.doi.org/10.1098/rspb.2022.2570 AGPL-3.0 https://www.gnu.org/licenses/agpl-3.0.en.html Fisheries management SoftwareSourceCode article Software 2024 ftdatacite https://doi.org/10.11583/dtu.2330129010.1098/rspb.2022.2570 2024-03-04T11:24:55Z Two R scripts used for model selection and validation in the manuscript submitted to Proceedings of the Royal Society B in 2023 (“Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries”). The first script selects and describes the most appropriate statistical model for this analysis and shows examples for running bias-corrected predictions on aggregated data, and the second script runs tests to validate the selected model. Scripts developed under the scope of the Horizon 2020 project, SEAwise. Copyright © 2023 Technical University of Denmark. ... Article in Journal/Newspaper Harbour porpoise DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Fisheries management
spellingShingle Fisheries management
Glemarec, Gildas
Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
topic_facet Fisheries management
description Two R scripts used for model selection and validation in the manuscript submitted to Proceedings of the Royal Society B in 2023 (“Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries”). The first script selects and describes the most appropriate statistical model for this analysis and shows examples for running bias-corrected predictions on aggregated data, and the second script runs tests to validate the selected model. Scripts developed under the scope of the Horizon 2020 project, SEAwise. Copyright © 2023 Technical University of Denmark. ...
format Article in Journal/Newspaper
author Glemarec, Gildas
author_facet Glemarec, Gildas
author_sort Glemarec, Gildas
title Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
title_short Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
title_full Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
title_fullStr Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
title_full_unstemmed Bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
title_sort bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries ...
publisher Technical University of Denmark
publishDate 2024
url https://dx.doi.org/10.11583/dtu.23301290
https://data.dtu.dk/articles/software/Bias-corrected_estimates_of_harbour_porpoise_bycatch_in_gillnet_fisheries/23301290
genre Harbour porpoise
genre_facet Harbour porpoise
op_relation https://github.com/gildas-glemarec/bias-corrected-estimates-of-harbour-porpoise-bycatch-in-gillnet-fisheries
https://github.com/gildas-glemarec/bias-corrected-estimates-of-harbour-porpoise-bycatch-in-gillnet-fisheries
https://dx.doi.org/10.1098/rspb.2022.2570
op_rights AGPL-3.0
https://www.gnu.org/licenses/agpl-3.0.en.html
op_doi https://doi.org/10.11583/dtu.2330129010.1098/rspb.2022.2570
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