GES 5025 - Introduction to Multivariate Data in the Earth and Life Sciences (3) [DL]

When Offered: Fall
This course provides an introduction to reading, understanding and critiquing results from published case studies that contain multivariate data from broad fields of geology and environmental science. The course provides an introduction to experimental design, data management, multivariate data collection and numerical methods in commonly available software applications. Principles, concepts and assumptions of multivariate data analysis are introduced. Methods introduced include: cluster analysis, principal component analysis, discriminant analysis, correspondence analysis, nonmetric multidimensional scaling, time series, and geometric landmark analysis as applied to geoscience topics. A significant portion of the course is based on independent analysis of geoscience and environmental science data sets.
Prerequisite: One course in introductory statistics or permission of instructor.
[Dual-listed with GES 4025.]