Introduction to Statistical Sampling and Analysis Methods for Environmental Monitoring
Course Leader: Lyman McDonald, Western EcoSystems Technology, Inc. (WEST, Inc.)
Venue: The Pyle Center
This one day course will cover an introduction to statistical sampling and analysis methods to help develop the participant’s skills needed to monitor trends in abundance of plant and animal species and assess changes due to impacts in the environment and corrective management actions. The workshop will cover field sampling designs including: random sampling, stratified sampling, systematic sampling, distance sampling, and generalized random tessellation stratified (GRTS) equal probability sampling. Monitoring methods covered include use of classical statistical tests, confidence intervals, and an introduction to monitoring distribution of plant and animal species using patch occupancy methods. Finally, we will give an introduction to bioequivalence testing with application to testing that an impacted site has been restored to a level that it is bioequivalent to a reference site. The course is designed for individuals who are competent in computing basic descriptive statistics and are familiar with making inferences using classical statistical testing and confidence intervals. All participants are required to bring a laptop computer with the latest version of the free R software for statistical computing installed.