This book introduces ecologists to modern tools for data analysis, particularly with extensions to multivariate analyses. Assuming only that readers have completed an introductory statistics course, the book begins by explaining key methods encountered in introductory statistics in the context of the linear model, a general and intuitive framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way, important principles in model selection, adaptations of the core model to handle non-linearity and circularity, design-based techniques for inference that can relax some of the modelling assumptions, and how to analyze point event (or presence-only) data are presented. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments. R code is used throughout the book, and an R package with code and data on CRAN are included as well.

Book Information
ISBN 9783030884420
Author David Warton
Format Hardback
Imprint Springer Nature Switzerland AG
Publisher Springer Nature Switzerland AG
Weight(grams) 155g