HKU: Movement Ecology Workshop in R

In January 2018, my colleague Eric Dougherty and I were invited to lead an 8-day workshop focused on analysis of movement data in R. This was an exciting opportunity and we worked hard to pull together resources to cover with a broad brush everything from the basics of loading a shapefile in R all the way to simulating movement paths. All resources and code are hosted in a public repository and on an associated website. I sincerely hope these resources can be of use to other instructors and researchers. People should feel welcome to use the repository and code as they see fit, and I would be delighted to hear from anyone with suggestions regarding organization or new topics that are of interest.

Recent Graduate Student Instruction:

ESPM-288: Reproducible and Collaborative Data Science

This is a graduate-level course aimed at students enrolled in UC Berkeley NSF Research Trainee Program Environment and Society: Data Sciences for the 21st Century and other interested students in ecological, environmental or social science programs. This course is taught with an emphasis on using tidyverese in R, Rstudio, TravisCI, Git, & Github

ESPM-157: Data Science & Global Change Ecology

This is an upper-division undergraduate course designed to introduce students in Berkeley’s College of Natural Resources (CNR) to the fundamentals of data science, while also introducing students majoring in Data Science or related fields to key issues in global change ecology. This course is taught with an emphasis on using tidyverese in R, Rstudio, TravisCI, Git, & Github

ESPM-173: Introduction to Analysis of Ecological Data

This is an upper-division undergraduate course designed to introduce CNR majors to the fundamentals of ecological statistics (descriptive statistics up through regression analyses) using R and Rstudio.