Introduction To Quantitative Ecology
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Introduction To Quantitative Ecology
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Author : Timothy E. Essington
language : en
Publisher: Oxford University Press
Release Date : 2021-09-30
Introduction To Quantitative Ecology written by Timothy E. Essington and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Science categories.
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible textbook introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. Introduction to Quantitative Ecology is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios.
How To Be A Quantitative Ecologist
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Author : Jason Matthiopoulos
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-12
How To Be A Quantitative Ecologist written by Jason Matthiopoulos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-12 with Mathematics categories.
Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK
Introduction To Quantitative Ecology
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Author : Timothy E. Essington
language : en
Publisher: Oxford University Press
Release Date : 2021
Introduction To Quantitative Ecology written by Timothy E. Essington and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Computers categories.
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience.
Introduction To Quantitative Ecology
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Author : Timothy Essington
language : en
Publisher:
Release Date : 2021
Introduction To Quantitative Ecology written by Timothy Essington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Ecology categories.
Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. This accessible textbook introduces quantitative ecology in a manner that aims to confront the limitations of the current literature and thereby appeal to a far wider audience.
How To Be A Quantitative Ecologist
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Author : Jason Matthiopoulos
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-25
How To Be A Quantitative Ecologist written by Jason Matthiopoulos and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-25 with Mathematics categories.
Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK
Quantitative Ecology
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Author : David C. Schneider
language : en
Publisher: Elsevier
Release Date : 1994-06-17
Quantitative Ecology written by David C. Schneider and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-06-17 with Science categories.
Quantitative Ecology reviews the manifold ways that scale influences the interpretation of ecological variation. Ecologists recognize the significance of scale and magnitude in providing a context for resolution of ecological problems. Written for advanced undergraduates, graduate students, and faculty researchers, this book synthesizes a burgeoning literature on the influences of scale.As scale, magnitude, quantity, and measurement occupy an expanding role in ecology, Quantitative Ecology will be an indispensable addition to individual and institutional libraries.
Handbook Of Quantitative Ecology
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Author : Justin Kitzes
language : en
Publisher:
Release Date : 2022
Handbook Of Quantitative Ecology written by Justin Kitzes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Ecology categories.
"Students and other researchers entering the fields of ecology and conservation biology often come with little computational or mathematics training, leaving them feeling unprepared to participate in the quantitative aspects of research in these fields. In this "low threshold, high ceiling" introduction to the subject, Justin Kitzes, an ecologist who has taught students at both undergraduate and graduate levels, aims to remedy this situation. He argues that anyone with the ability and interest to study ecology can learn the basics of the most widely used methods in quantitative ecology. Specifically, Kitzes shows readers how to translate common biological questions into mathematical models, doing so using only basic algebra and the use of spreadsheets, without requiring any background in advanced mathematics or programming skills. Students and practicing conservation biologists who are mathematically out-of-practice or uncomfortable will find this book a useful and necessary resource"--
Quantitative Analysis Of Ecological Networks
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Author : Mark R. T. Dale
language : en
Publisher: Cambridge University Press
Release Date : 2021-04-15
Quantitative Analysis Of Ecological Networks written by Mark R. T. Dale and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Language Arts & Disciplines categories.
Displays the broad range of quantitative approaches to analysing ecological networks, providing clear examples and guidance for researchers.
Statistical Ecology
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Author : John A. Ludwig
language : en
Publisher: John Wiley & Sons
Release Date : 1988-05-18
Statistical Ecology written by John A. Ludwig and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-05-18 with Mathematics categories.
Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.
Numerical Ecology With R
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Author : Daniel Borcard
language : en
Publisher: Springer
Release Date : 2018-03-19
Numerical Ecology With R written by Daniel Borcard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Mathematics categories.
This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).