How to be a Quantitative Ecologist: The 'A to R' of Green Mathematics and Statistics - Hardcover

Matthiopoulos, Jason

Hardcover

ISBN 10: 0470699787 ISBN 13: 9780470699782

Verlag: Wiley, 2011

Inhaltsangabe

How to be a Quantitative Ecologist: The 'A to R' of Green Mathematics and Statistics

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

Über diesen Titel

Über die Autorin bzw. den Autor

Jason Matthiopoulos, Lecturer in biology (University of St Andrews). He is a senior researcher in the Sea Mammal Research Unit and member of the Centre for Ecological and Environmental Modelling.

Von der hinteren Coverseite

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.
• A companion website www.wiley.com/go/quantitative_ecologist is specifically designed for independent study.

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

Companion Website

www.wiley.com/go/quantitative_ecologist

Aus dem Klappentext

"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

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2011
• Sprache: Englisch
• ISBN 10: 0470699787
• ISBN 13: 9780470699782
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 496
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland