Using R for modelling and quantitative methods in fisheries / Malcolm Haddon.

By: Haddon, Malcolm.
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC the R series.Publisher: Boca Raton, FL ; London ; New York : CRC Press, 2020Description: xiii, 337 pages : illustrations (black and white) ; 24 cm.ISBN: 036746988X; 9780367469887; 0367469898; 9780367469894.Subject(s): FISHERIES | MATHEMATICAL MODELS | R | POPULATION MODELS | PARAMETER ESTIMATION | LIKELIHOOD | BAYES THEOREM | GROWTH CURVES | FISH TAGGING | MATURATION | RECRUITMENT | FISH STOCK ASSESSMENTHoldings: GRETA POINT: 519.22 HAD
Contents:
1. On Modelling -- 2. A Non-Introduction to R -- 3. Simple Population Models -- 4. Model parameter Estimation -- 5. Static Models -- 6. On Uncertainty -- 7. Surplus Production Models
Summary: 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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BOOKS
519.22 HAD 1 Issued 21/04/2021 B021567

1. On Modelling -- 2. A Non-Introduction to R -- 3. Simple Population Models -- 4. Model parameter Estimation -- 5. Static Models -- 6. On Uncertainty -- 7. Surplus Production Models

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.

GRETA POINT: 519.22 HAD

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