Using R for modelling and quantitative methods in fisheries
Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.
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Format: | Texto biblioteca |
Language: | eng |
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Boca Raton Chapman and Hall/CRC
2020
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Subjects: | fishing industry, computer software, mathematical models, SDGs, Goal 2 Zero hunger, Goal 14 Life below water, |
Online Access: | https://www-taylorfrancis-com.fao.idm.oclc.org/books/mono/10.1201/9781003032601/using-modelling-quantitative-methods-fisheries-malcolm-haddon?context=ubx&refId=60efbba9-d7ec-4bb0-8eef-850403e626dc |
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unfao:8557542021-10-11T16:56:25ZUsing R for modelling and quantitative methods in fisheries 166073 Haddon, M. textBoca Raton Chapman and Hall/CRC2020engUsing R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided. The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students.fishing industrycomputer softwaremathematical modelsSDGsGoal 2 Zero hungerGoal 14 Life below waterhttps://www-taylorfrancis-com.fao.idm.oclc.org/books/mono/10.1201/9781003032601/using-modelling-quantitative-methods-fisheries-malcolm-haddon?context=ubx&refId=60efbba9-d7ec-4bb0-8eef-850403e626dcURN:ISBN:9781003032601 |
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fishing industry computer software mathematical models SDGs Goal 2 Zero hunger Goal 14 Life below water fishing industry computer software mathematical models SDGs Goal 2 Zero hunger Goal 14 Life below water |
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fishing industry computer software mathematical models SDGs Goal 2 Zero hunger Goal 14 Life below water fishing industry computer software mathematical models SDGs Goal 2 Zero hunger Goal 14 Life below water 166073 Haddon, M. Using R for modelling and quantitative methods in fisheries |
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Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open-source software R as a programming tool. Some knowledge of R is assumed, as this is a book about using R, but an introduction to the development and working of functions, and how one can explore the contents of R functions and packages, is provided.
The example analyses proceed step-by-step using code listed in the book and from the book’s companion R package, MQMF, available from GitHub and the standard archive, CRAN. The examples are designed to be simple to modify so the reader can quickly adapt the methods described to use with their own data. A primary aim of the book is to be a useful resource to natural resource practitioners and students. |
format |
Texto |
topic_facet |
fishing industry computer software mathematical models SDGs Goal 2 Zero hunger Goal 14 Life below water |
author |
166073 Haddon, M. |
author_facet |
166073 Haddon, M. |
author_sort |
166073 Haddon, M. |
title |
Using R for modelling and quantitative methods in fisheries |
title_short |
Using R for modelling and quantitative methods in fisheries |
title_full |
Using R for modelling and quantitative methods in fisheries |
title_fullStr |
Using R for modelling and quantitative methods in fisheries |
title_full_unstemmed |
Using R for modelling and quantitative methods in fisheries |
title_sort |
using r for modelling and quantitative methods in fisheries |
publisher |
Boca Raton Chapman and Hall/CRC |
publishDate |
2020 |
url |
https://www-taylorfrancis-com.fao.idm.oclc.org/books/mono/10.1201/9781003032601/using-modelling-quantitative-methods-fisheries-malcolm-haddon?context=ubx&refId=60efbba9-d7ec-4bb0-8eef-850403e626dc |
work_keys_str_mv |
AT 166073haddonm usingrformodellingandquantitativemethodsinfisheries |
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1768620356848844800 |