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How to be a Quantitative Ecologist

The 'A to R' of Green Mathematics and Statistics
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
How to be a Quantitative Ecologist: The 'A to R' of Green Mathematics and Statistics offers a practical introduction to mathematics, statistics and programming for ecological research, especially aimed at students and practitioners who may have limited prior experience. Starting from basic concepts, the book builds understanding through biological examples and extensive use of the R programming language for data analysis and graphics. It covers fundamental topics such as algebra, logarithms, calculus, descriptive statistics, probability and regression, and explores advanced methods including fractals, non-linear systems, Bayesian estimation and multivariate statistics. Designed as a comprehensive textbook, it supports late undergraduate and postgraduate courses in environmental biology.
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Format: Paperback / softback
$10299
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for late undergraduate and postgraduate students in environmental biology as well as practitioners in ecology seeking to enhance their quantitative and computational skills. The book is particularly suited to readers who have limited prior exposure to advanced mathematics, statistics, or programming.

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How to Be a Quantitative Ecologist is comprised of two equal parts on mathematics and statistics with emphasis on quantitative skills. A major component of this guide is computer implementation techniques, accompanied by computer practicals using the language R.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

The book is praised for its accessible style which helps readers overcome apprehension about quantitative ecology, making complex mathematical concepts approachable and relevant. Reviews highlight it as an essential resource for mastering R in ecological research and commend its ability to provide a solid foundation for further study in quantitative methods. It is recommended for ecologists who have previously shied away from quantitative approaches and those seeking a practical, example-driven guide.

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Book Details

INFORMATION

ISBN: 9780470699799

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 18 April 2011

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Tertiary education

DIMENSIONS

Spine width: 23.0mm

Width: 170.0mm

Height: 246.0mm

Weight: 735g

Pages: 496

About the Author

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.

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