Course Description
Advanced theory and applications of spatial information technology and spatial analysis techniques in natural resources. Focus will be on addressing realistic problems within the field of natural resources, including in student's own research area.
Athena Title
Adv Spatial Analysis Natl Res
Non-Traditional Format
Topics will vary based on student needs, and will be taught in a modular format. Students can register for 1-4 credits, which will correspond to up to 4 topics taught in 4 discrete segments during the semester.
Prerequisite
Permission of department
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
The primary objectives are: (1) to build upon the background, theory and practical applications of a variety of spatial information technologies such as geographic information systems (GIS) & remote sensing (2) to introduce several advanced spatial analysis techniques (3) to facilitate the application of spatial analysis techniques in the study and management of natural resources.
Topical Outline
Topics commonly included in one or more modules will be: 1. Geospatial Data Management, Ecoinformatics 2. Spatial Sample Design 3. Spatial Statistics and Spatial Structure Analysis 4. Species Distribution Modeling (niche modeling) 5. Modeling Home Range, Animal Movements, and Resource Selection 6. Spatially Explicit Agent-Based Models 7. Modeling Landscape Connectivity
Syllabus
Public CV