Multivariate Analysis for Community Ecology

Monique Rocca

Description:In this course, students will learn popular techniques for analyzing multivariate ecological data, with an emphasis on ordination and classification of multivariate data characteristic of community ecology. Students will gain a conceptual understanding of multivariate analyses and interpretation, and will practice implementing these techniques on a dataset of their choice. By the end of the semester, students will be comfortable working with the Pcord software package and have the skills necessary to perform a multivariate analyses that will stand up to peer review. We will meet weekly as a group for informal lectures, at least for the first half of the semester. The second half of the semester will be more flexible in order to pursue topics of interest to the group and allow students time to work with their own data. As a final project, students will write a journal-style manuscript (which may lead to a thesis chapter or a publication).

Section: 7
Credits: 3
Restrictions: Graduate statistics (511/512) and an ecology course in the student's discipline (plants, wildlife, etc.)
First Meeting: 1/20/2009
Meeting Times: Tuesdays, 2:00 - 4:00 p.m.
Classroom: Natural Resources 201
CRN: 10367
Cross Listed: none
Enrollment Limit: 15
Background: none
Course Text: McCune, B, and J.B. Grace. 2002. Analysis of Ecological Communities
Instructor Contact Info:
      Monique Rocca 970-491-2112