Fwd: New Online Training at SMSC: Regression-based Stats in R/Spatial Ecology: GIS In R
Janet Nackoney
Janet
From: NZP-SCBI Training <scbitr...@si.edu>
Date: Wed, Oct 21, 2020 at 10:29 AM
Subject: New Online Training at SMSC: Regression-based Stats in R/Spatial Ecology: GIS In R
To:
Greetings!
As a previous applicant or participant in an SMSC course, we wanted to make you aware of some new training opportunities. Due to the ongoing pandemic, SMSC is now piloting online versions of two of their most popular training courses to ensure that training can continue in these challenging times. Note that these courses are currently offered at a significantly lower price point than our in-person programs. Both courses offer continuing education credits (CEUs) and both can be taken for graduate credit at additional cost. Limited scholarships are available for eligible applicants. Also note that applicants from eligible countries can apply for Professional Development Grants from WWF’s EFN program, and applications for this cycle are due Nov 1. If you have additional questions after reviewing the course web pages, please contact: SCBITr...@si.edu
Statistics for Ecology and Conservation Biology - ONLINE
Jan 19 – March 12, 2021
Cost: 500.00 USD (Scholarships available for eligible applicants)
This asynchronous online course provides an overview of modern regression-based statistical analysis techniques relevant to ecological research and applied conservation, starting with basic linear models and moving quickly to generalized linear models (GLMs) and mixed models. The course aims to provide a robust understanding of the wide range of regression approaches available, the assumptions associated with each, and the circumstances under which each should be applied. Models covered enjoy widespread use in ecology and conservation biology and can be applied to a huge diversity of data types, study designs, and research questions. Emphasis is placed not only on proper implementation of models, but also on interpretation and explanation of results, recognizing uncertainty and model limitations. Participants will conduct all exercises using R, a free software environment for statistical computing and graphics which has now become the standard in this field. In addition to recorded lectures and detailed demonstration analysis code, each week will include 2 optional live virtual sessions, one for review of weekly assigned problem sets, and the other for discussion and problem set Q&A. All exercises and demos will use real ecological data sets and participants will complete an independent analysis project on a unique assigned dataset during the last 2 weeks of the course.
Essentials of Spatial Ecology: GIS Analysis in R – ONLINE
March 15 – May 4, 2021
Website: https://smconservation.gmu.edu/programs/graduate-and-professional/gis-ol/
Cost: 500.00 USD (Scholarships available for eligible applicants)
The course aims to provide graduate students and professionals with an introduction to the increasingly powerful and flexible range of tools for working with spatial data in the R environment. The course will review core GIS concepts and the basics of R programming and build skills in digital data acquisition and raster and vector import and manipulation. With these key skills, the course will move into applications in spatial ecology including: animal home range generation and movement analysis, habitat suitability analysis and species distribution models, and habitat connectivity analysis. All steps of the course will build skills in data visualization, with an additional module on map generation with the tmap package. Live virtual lectures and analysis demonstrations in R will be paired with additional prepared/recorded material and significant independent analysis work. Each week will also include a live Q&A session related to the week’s assignment. Timing and length of weekly lectures is still being determined. This course is designed and taught by experts at the Smithsonian Conservation Biology Institute’s (SCBI) Conservation GIS Lab and participants will virtually meet a wide range of scientists from the Lab working on species conservation projects around the world.
Additional Courses (currently scheduled as in-person offerings):
- Practical Zoo Nutrition Management (May 3-7, 2021)
- Camera Trapping Study Design and Data Analysis (June 7-18, 2021)
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