This is draft of the book Effective Ecology […] Roger D Cousens with ©2023 Roger D Cousens, with co-authors Mark R T Dale, Alkistis Elliott-Graves, Michael J Keough, Gerry P Quinn, Joshua I Brian, Jane A Catford, Jannice Friedman, Alyson C Van Natto, Bruce L Webber, Daniel Z Atwater, Maria Paniw, Chris M Baker, Thao P Le, Marc W. Cadotte and Françoise Cardou This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Note: The online version of this book is free to read here - thanks to Taylor & Francis/CRC Press.You can purchase a … Read more →

This book provides basic material for students seeking to learn statistics in an R environment, […] This skills pack introduces statistical concepts to beginners within the framework of R. Examples of analyses and R code are provided as well. Dr. Glenna Nightingale PhD Statistics research scientist (public health, epidemiology, spatial ecology, computational social science). Dr. Mike Allerhand, PhD Statistics -since 2009 Statistician at the Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh. Since 2018 Statistical Consultant in the Statistical Consultancy Unit … Read more →

Theory in ecology and evolution with applications for a changing world […] Foo foo foo Bar bar … Read more →

A technical guide for mapping rooftop solar potential in a city using open source data and software. […] In 1990, cities accounted for 45% of global final energy use, but by the end of 2020, this share had risen to approximately 75% and cities release a similar share of global energy-related CO₂ emissions. Today, most of the world’s energy supply is generated from fossil fuels, coal, oil, and natural gas. Fossil fuels are non-renewable sources of energy, and their use has a negative impact on the world’s economy, ecology, and climate.1 Therefore, the use and need for renewable energy … Read more →

How to do comparative methods for evolution and ecology […] This book was created as part of my PhyloMeth class, which focuses on sensibly using and developing comparative methods. It will be actively developed over the course of Spring 2017, so if you don’t like this version (see date above), check back soon! The book is available here but you can fork it, add issues, and look at raw source code at https://github.com/bomeara/ComparativeMethodsInR. [Note I’ll be changing the name of the repo eventually; the course is largely in R (not entirely) but of course many key methods appear in other … Read more →

A book about how to use R for the meta-analysis of ecological data […] We created this book as a guide to conducting meta-analysis using ecological data in R. Ecologists are increasingly turning to evidence synthesis (i.e., systematic review and meta-analysis) as a way of describing and summarizing the published evidence base within sub-disciplines. There are helpful books that provide the theory behind meta-research in ecology (Koricheva, Gurevitch, and Mengersen 2013). There are also more technical guides that provide the R code for conducting meta-analyses, but these are typically built … Read more →

A gentle introduction to nature hacks for a better life. […] This is the prework before we meet. Nature deficit disorder is an experiential hypothesis for behavioral ecology. It proposes that humans spending too little time outdoors are more likely to experience behavioral challenges and reductions in cognition and mental well-being. Richard Louv first developed these ideas formally in the book entitled ‘Last child in the woods’ in 2008. A more recent and expansive book was published in 2012 entitled ‘The nature principle’ and another in 2019 entitled ‘Our wild calling’. These works … Read more →

The second semester of an Intro Stats course designed for graduate students in Biology, Forestry, Ecology, etc. […] These notes are intended to be used in the second semester of a two-semester sequence of Statistical Methodology. We assume that students have seen t-tests, Simple Regression, and ANOVA. The second semester emphasizes the uniform matrix notation (y = X\beta + \epsilon) and the interpretation of the coefficients. We cover model diagnostics, transformation, model selection, interactions of continuous and categorical predictors as well as introduce random effects in the … Read more →

This is the location for all of the tutorials associated with the behaviouR R package. […] To get started you should download the package from Github using the following code. Note: If you have never used R before I highly recommend that you check out the primers here: https://rstudio.cloud/learn/primers. You can navigate using the tabs at the left and/or the … Read more →

Project ideas for Applied Population and Statistical Ecology […] This website contains six sources of data that may be used for class projects. If you are interested in a project that uses data that is not presented here, please discuss this with Elsie, Katy or Trevor. It is likely that we can find a data set for your research … Read more →

This is a book that is build on lectures from a course of the same name. […] Welcome to Bayesian Hierarchical Models in Ecology. This is an ebook that is also serving as the course materials for a graduate class of the same name. There will be numerous and on-going changes to this book, so please check back. And don’t hesistate to email me if you have questions, comments, or for anything else. To start, let’s calrify the title of this text—it should be Hierarchical Models in Ecology Using Bayesian Inference. A Bayesian Hierarchical Model is more a term of convenience than accuracy, as … Read more →

Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature […] The generation of new global hypothesis, destined to understand our current global biodiversity crisis, requires a large amount of information. Our knowledge in Ecology is principally contained in the form of published articles. This global body of literature holds a significant amount of primary data on species distributions and interactions across a large geographical and temporal scale. In this literature review, I explore the use of different computational tools … Read more →