Introduction to movement ecology in R

This workshop will cover the basics of working with animal tracking data in R. Specifically, we will first discuss the ever-changing landscape of packages for working with animal tracking data and what options are best for getting started. The first half of the workshop will focus on developing fundamental skills for loading, processing, and managing animal tracking data in R. The second half of the workshop will involve learning tools for spatial analysis of animal tracking data. Specifically, we will learn how to analyze path movement metrics, compute animal home ranges, and integrate animal tracking data with other spatial layers (e.g., GIS and remote sensing data). To close, Participants will be exposed to more advanced techniques and pointed to resources for learning more.
Requirements: Participants are expected to have a basic understanding of data analysis in R, but no experience working with tracking data is necessary. Students may bring their own data or work from provided examples. 

Introduction to stable isotope assignment in R

​For migratory wildlife populations, understanding the connections between breeding, non-breeding, and stopover locations is integral to their conservation and management. Intrinsic markers, such as stable isotopes, found within the tissues of migratory individuals offer an alternative to the use of transmitters and other extrinsic markers . Briefly, this method relates the stable-isotope values of consumer tissues to those of the environment (especially stable isotopes of hydrogen and oxygen in precipitation) to determine likely origins where tissues were grown. In recent years there has been a handful of packages released in the R statistical environment (isocat and AssignR) which have increased the functionality of these assignment methods and made them much more accessible. In this workshop, we will first present a short introduction to introduce the theory behind stable-isotope assignment, after which we will work through some example R script where we will, step-by-step, work though the procedures to determine the likely origins of unknown-origin migrants. No data is required by participants as everything will be provided during the workshop. This workshop is aimed at a general audience, but some knowledge in R is recommended.
​Requirements: Laptop if you are intending to run the code simultaneously (a rmarkdown file will be provided). 

Introduction to Bayesian analysis of mark-recapture data

coming soon