An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. It shows that using simulation and data-generating models is an excel...

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...

This completely updated and revised second edition provides a unique and up-to-date treatment of all aspects of plant ecology, making it an ideal textbook and reference work for students, researchers and practitioners.More than 500 high-quality images and drawings, mostly in colour, aid readers’ understanding of various key topics, while the clear structure and straightforward style make it user friendly and particularly useful for students. Written by leading experts, it offers au...