Analysis of Ecological Data
Durham
Life Sciences & Agriculture :: Natural Resources
Credits: 4.0
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Term: Spring 2023 - Full Term (01/24/2023 - 05/08/2023)
Grade Mode: Letter Grading
Class Size:
20
CRN: 53206
CRN: 53206
This course introduces you to a suite of tools appropriate for analyzing and interpreting multivariate data arising from agroecological (and other ecological) research. In this course we cover a variety of multivariate analyses, including clustering, ordination (principle components analysis, nonmetric multidimensional scaling, correspondence analysis), group comparisons (multi-response permutation procedures, PerMANOVA, indicator species analysis, discriminant analysis, mantel test), and other hypothesis-driven techniques, including structural equation modeling.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Richard Smith
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/24/2023 | 5/8/2023 | TR | 3:40pm - 5:00pm | DEM 253 |
1/24/2023 | 5/8/2023 | M | 12:10pm - 2:00pm | JAMS G45 |