Using R For Modelling And Quantitative Methods In Fisheries
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Using R For Modelling And Quantitative Methods In Fisheries
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Author : Malcolm Haddon
language : en
Publisher: CRC Press
Release Date : 2020-08-27
Using R For Modelling And Quantitative Methods In Fisheries written by Malcolm Haddon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Technology & Engineering categories.
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. Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.
Modelling And Quantitative Methods In Fisheries
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Author : Malcolm Haddon
language : en
Publisher: CRC Press
Release Date : 2001-05-31
Modelling And Quantitative Methods In Fisheries written by Malcolm Haddon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-31 with Mathematics categories.
Quantitative methods and mathematical modelling are of critical importance to fishery science and management but, until now, there has been no book that offers the sharp focus, methodological detail, and practical examples needed by non-specialist fishery scientists and managers, and ecologists. Modelling and Quantitative Methods in Fisheries fills that void. To date, methodology books in fisheries science have been limited to cookbook approach to problems; simple compilations; or expositions in which either too much theory or insufficient methodological detail is given. The text is organized into three sections: an introduction to modelling in fisheries and ecology, a straight methodology section covering a range of methods, and a section focusing on specific fields in fisheries science. This book is timely as it addresses a topic of recent debate in fisheries and ecology, describing and comparing the uses of Least Squares, Maximum Likelihood, and Bayesian quantitative methods. Designed as stand-alone units, each chapter provides examples from both classic and recent literature and comes with dedicated Excel spreadsheets that permit you to delve into every detail of the analysis. All of these spreadsheets serve as active examples, which can easily be modified and customized and can be used as templates for analyzing your own data. The spreadsheets permit you to learn at your own speed and cover the simplest linear regression to the more complex non-linear modelling using maximum likelihood. Data analysis and modelling are best learned by doing and not just by reading. This book illustrates, step by step, the analyses it covers. More detailed in terms of introductory quantitative methods and modelling as applied to fisheries than any other book available, Modelling and Quantitative Methods in Fisheries gives you the advantage by supplying the full details of the analysis so that understanding the material is a matter of following the book.
Using R For Modelling And Quantitative Methods In Fisheries
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Author : Malcolm Haddon
language : en
Publisher: CRC Press
Release Date : 2020-08-27
Using R For Modelling And Quantitative Methods In Fisheries written by Malcolm Haddon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-27 with Technology & Engineering categories.
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. Featured Chapters: Model Parameter Estimation provides a detailed explanation of the requirements and steps involved in fitting models to data, using R and, mainly, maximum likelihood methods. On Uncertainty uses R to implement bootstrapping, likelihood profiles, asymptotic errors, and Bayesian posteriors to characterize any uncertainty in an analysis. The use of the Monte Carlo Markov Chain methodology is examined in some detail. Surplus Production Models applies all the methods examined in the earlier parts of the book to conducting a stock assessment. This included fitting alternative models to the available data, characterizing the uncertainty in different ways, and projecting the optimum models forward in time as the basis for providing useful management advice.
Quantitative Fisheries Stock Assessment
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Author : R. Hilborn
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
Quantitative Fisheries Stock Assessment written by R. Hilborn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Science categories.
This book really began in 1980 with our first microcomputer, an Apple II +. The great value of the Apple II + was that we could take the computer programs we had been building on mainframe and mini-computers, and make them available to the many fisheries biologists who also had Apple II + 's. About 6 months after we got our first Apple, John Glaister came through Vancouver and saw what we were doing and realized that his agency (New South Wales State Fisheries) had the same equipment and could run the same programs. John organized a training course in Australia where we showed about 25 Australian fisheries biologists how to use microcomputers to do many standard fisheries analyses. In the process of organizing this and sub sequent courses we developed a series of lecture notes. Over the last 10 years these notes have evolved into the chapters of this book.
Introductory Fisheries Analyses With R
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Author : Derek H. Ogle
language : en
Publisher: CRC Press
Release Date : 2016-01-05
Introductory Fisheries Analyses With R written by Derek H. Ogle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-05 with Mathematics categories.
A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and graduate students, the book demonstrates the flexibility and power of R, offers insight into the reproducibility of script-based analyses, and shows how the use of R leads to more efficient and productive work in fisheries science. The first three chapters present a minimal introduction to the R environment that builds a foundation for the fisheries-specific analyses in the remainder of the book. These chapters help you become familiar with R for basic fisheries analyses and graphics. Subsequent chapters focus on methods to analyze age comparisons, age-length keys, size structure, weight-length relationships, condition, abundance (from capture-recapture and depletion data), mortality rates, individual growth, and the stock-recruit relationship. The fundamental statistical methods of linear regression, analysis of variance (ANOVA), and nonlinear regression are demonstrated within the contexts of these common fisheries analyses. For each analysis, the author completely explains the R functions and provides sufficient background information so that you can confidently implement each method. Web Resource The author’s website at http://derekogle.com/IFAR/ includes the data files and R code for each chapter, enabling you to reproduce the results in the book as well as create your own scripts. The site also offers supplemental code for more advanced analyses and practice exercises for every chapter.
Modelling And Quantitative Methods In Fisheries Second Edition
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Author : Malcolm Haddon
language : en
Publisher: CRC Press
Release Date : 2010-02-01
Modelling And Quantitative Methods In Fisheries Second Edition written by Malcolm Haddon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Mathematics categories.
Revised and restructured, Modeling and Quantitative Methods in Fisheries, Second Edition provides an accessible introduction to quantitative methods in fisheries. This book features new material on tests and comparisons as well as new chapters on length-based models and estimating uncertainty using Bayesian methods. It presents a structured, step-by-step approach that introduces the material in a logical sequence. This text covers a range of topics such as simple linear regression, complex nonlinear modeling, methodology, and specific fields in fisheries. It also includes numerous real world examples implemented in Excel, with workbooks for all examples available for download on the web.
Modelling And Quantitative Methods In Fisheries
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Author : Malcolm Haddon
language : en
Publisher: CRC Press
Release Date : 2011-03-11
Modelling And Quantitative Methods In Fisheries written by Malcolm Haddon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-11 with Mathematics categories.
With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the methods work and better understand the underlying principles. Excel workb
Biology Of Sharks And Their Relatives
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Author : Jeffrey C. Carrier
language : en
Publisher: CRC Press
Release Date : 2022-06-08
Biology Of Sharks And Their Relatives written by Jeffrey C. Carrier and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-08 with Nature categories.
Biology of Sharks and Their Relatives is an award-winning and groundbreaking exploration of the fundamental elements of the taxonomy, systematics, physiology, and ecology of sharks, skates, rays, and chimera. This edition presents current research as well as traditional models, to provide future researchers with solid historical foundations in shark research as well as presenting current trends from which to develop new frontiers in their own work. Traditional areas of study such as age and growth, reproduction, taxonomy and systematics, sensory biology, and ecology are updated with contemporary research that incorporates emerging techniques including molecular genetics, exploratory techniques in artificial insemination, and the rapidly expanding fields of satellite tracking, remote sensing, accelerometry, and imaging. With two new editors and 90 contributors from the US, UK, South Africa, Portugal, France, Canada, New Zealand, Australia, India, Palau, United Arab Emirates, Micronesia, Sweden, Argentina, Indonesia, Cameroon, and the Netherlands, this third edition is the most global and comprehensive yet. It adds six new chapters representing extensive studies of health, stress, disease and pathology, and social structure, and continues to explore elasmobranch ecological roles and interactions with their habitats. The book concludes with a comprehensive review of conservation policies, management, and strategies, as well as consideration of the potential effects of impending climate change. Presenting cohesive and integrated coverage of key topics and discussing technological advances used in modern shark research, this revised edition offers a well-rounded picture for students and researchers.
Modelling Forecasting Artificial Neural Network And Expert System In Fisheries And Aquaculture
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Author : Ajit Kumar Roy
language : en
Publisher:
Release Date : 2009-01-01
Modelling Forecasting Artificial Neural Network And Expert System In Fisheries And Aquaculture written by Ajit Kumar Roy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Aquaculture categories.
The book entitled Modelling Forecasting Artificial Neural Network and Expert System in Fisheries and Aquaculture is the first of its kind avilable in the market. The book contains altogether sixteen chapter covering both capture and culture fisheries aspects contributed by various subject matter specialists engaged in research and development activities at various national institutes of repute. Each of the chapters has been specially written by an expert in the field bringing together in a single volume a range of approaches and reviews covering conceptual and mathematical model empirical and theoretical model deterministic and stochastic model biological model pond ecosystem model and explanatory models. Both linear as well as nonlinear models applied to fisheries and aquaculture research has been dealt with illustrated examples on current real fisheries data. Adequate attention has been given to select chapters that contain both theoretical as well as applied areas of research. Important chapters like statistical modelling and their application in fisheries quantitative methods in fish stock assessment time series modeling tropho dynamic modelling and forecasting of fish production by environment and species/groups have been added. Methods of multiobjective freshwater aquaculture model are altogether a new approach in aquaculture research containing valuable information. Besides conventional methods latest developments on expert system simulation articial neural network fuzzy logic soft computing techniques in data analysis have been documented for the first time in India. Advanced econometric approach in productivity analysis has been demonstrated with a real field data identifying the role of socio-economic and farm specific management variables on technical efficiency of aquaculture farm. Finally the book provides a comprehensive account of recent developments in modelling and forecasting and also an insightful and authoritative overview of the broad umbrella of modelling and forecasting. Each and every chapter is important for researchers planners and those associated with development activities to cope with the most challenging task of providing food and nutritional security to the present population as well as to plan for supply of food to the future population of the country. Contents Chapter 1: Statistical Modelling in Fisheries Research: An Overview by Prajneshu; Chapter 2: Is Fisheries Sector in India Changing its Gear by Ganesh Kumar; Chapter 3: Non-Linear Models for Forecasting Fish Production from Ponds by Lalmohan Bhar; Chapter 4: Statistical Models and their Application in Fishery Science Research by R Venugopalan and Prajneshu; Chapter 5: Methods of Forecasting and their Application in Fishery Science by P K Sahu; Chapter 6: Modelling in Aquaculture by A K Roy; Chapter 7: Modelling of Multiobjective Freshwater Aquaculture by Pratap K J Mohapatra, Santosh K Prusty and C K Mukherjee; Chapter 8: A Revisit to Building up Models in Fishery Research by Satyabrata Pal and Subhabaha Pal; Chapter 9: Quantitative Techniques for Fish Stock Assessment by R S Biradar; Chapter 10: Quantitative Techniques for Fish Stock Assessment by R S Biradar; Chapter 11: Tropho-Dynamic Modelling for Ecosystem Based Fisheries Management by Preetha Panikkar and M feroz Khan; Chapter 12: Forecasting of Fish Production of India by Culture Environment and Species by A K Roy and Nirupama Panda; Chapter 13: Expert Systems and Simulation Studies in Agriculture Aquaculture by J Panduranga Rao; Chapter 14: Recent Trends in Artifical Neural Network (ANN) and Fuzzy Logic and their Application in Aquaculture by M Balakrishnan and R C Srivastava; Chapter 15: Soft Computing Techniques for Data Analysis and Modelling in Fisheries by H C Verma; Chapter 16: An Econometric Model for Productivity Analysis of Aquaculture Farms by A K Roy, G S Saha, N Sarangi and Nibedita Jena
Introductory Fisheries Analyses With R
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Author : Derek H. Ogle
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Introductory Fisheries Analyses With R written by Derek H. Ogle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Mathematics categories.
A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and graduate students, the book demonstrates the flexibility and power of R, offers insight into the reproducibility of script-based analyses, and shows how the use of R leads to more efficient and productive work in fisheries science. The first three chapters present a minimal introduction to the R environment that builds a foundation for the fisheries-specific analyses in the remainder of the book. These chapters help you become familiar with R for basic fisheries analyses and graphics. Subsequent chapters focus on methods to analyze age comparisons, age-length keys, size structure, weight-length relationships, condition, abundance (from capture-recapture and depletion data), mortality rates, individual growth, and the stock-recruit relationship. The fundamental statistical methods of linear regression, analysis of variance (ANOVA), and nonlinear regression are demonstrated within the contexts of these common fisheries analyses. For each analysis, the author completely explains the R functions and provides sufficient background information so that you can confidently implement each method. Web Resource The author’s website at http://derekogle.com/IFAR/ includes the data files and R code for each chapter, enabling you to reproduce the results in the book as well as create your own scripts. The site also offers supplemental code for more advanced analyses and practice exercises for every chapter.