DATA AND GIS TOOLS FOR ECOLOGY

F&WECOL/LANDARC/ZOOLOGY 565

Emphasizes the importance of spatial patterns at broad scales. Concepts and applications are covered.

F&WECOL 300

Field measurements of trees and forests. Basic concepts of statistics and sampling as applied to forestry. Use of aerial photographs, GIS, and satellite imagery.

BOTANY/F&WECOL/ZOOLOGY 460

Ecology of individual organisms, populations, communities, ecosystems, landscapes, and the biosphere. The interaction of organisms with each other and their physical environment. These relationships are studied, often in quantitative terms, in both field and laboratory settings.

ENTOM/F&WECOL 711

Examines common methods of multivariate data analysis in ecology and environmental science. Covers methods for the analysis of complex, multidimensional datasets that are collected in the study of plant, invertebrate, fish, and bird communities. Addresses the concurrent analysis of the environmental factors that may drive community distributions. Provides the basis for predictive modeling of distributions across landscapes. General methods covered include ordination (PCA, DCA, NMDS, CCA), clustering (or classification), and other comparative analyses of data matrices (ANOSIM, Mantel tests). Includes an applied, "hands-on" approach on how to use these tools, and the circumstances under which their uses are either appropriate or inappropriate.

F&WECOL 458

Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.