Environmental Data Analysis

An Introduction with Examples in R

Authors: Dormann, Carsten

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  • Offers an introduction to statistical methods relevant for environmental science
  • Is centred on the GLM as a general and flexible statistical approach
  • Includes a back-to-back structure, with practical R code chapters complementing each example-driven, theoretical chapter
  • Provides an essential foundation for further reading on Bayesian and machine-learning approaches
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eBook £63.99
price for United Kingdom (gross)
  • ISBN 978-3-030-55020-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £79.99
price for United Kingdom (gross)
  • ISBN 978-3-030-55019-6
  • with online files
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this Textbook

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg. 

About the authors

Carsten Dormann is a Professor of Biometry and Environmental System Analysis at the Faculty of Environment and Natural Resources, University of Freiburg, Germany. After completing his PhD in Plant Ecology at the University of Aberdeen, UK, he went on to become a statistical ecologist, with a research remit spanning from conservation ecology to the development of statistical methods, and from field experiments to population modelling. He currently teaches statistics at the BSc and MSc levels, from introductory classes to Bayesian statistics and machine learning. 

Table of contents (17 chapters)

Table of contents (17 chapters)

Buy this book

eBook £63.99
price for United Kingdom (gross)
  • ISBN 978-3-030-55020-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £79.99
price for United Kingdom (gross)
  • ISBN 978-3-030-55019-6
  • with online files
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Environmental Data Analysis
Book Subtitle
An Introduction with Examples in R
Authors
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-55020-2
DOI
10.1007/978-3-030-55020-2
Hardcover ISBN
978-3-030-55019-6
Edition Number
1
Number of Pages
XIX, 264
Number of Illustrations
109 b/w illustrations, 27 illustrations in colour
Topics