Spatial Information in Natural Resources
Class Description : The purpose of this 3-credit class is to familiarize students with the technologies and methods used to collect, manage, display and analyze spatial data in natural resource management. Students who successfully complete this class will be able to:
- Understand fundamental concepts of geographic information systems (GIS), including spatial data structures, map projections and coordinate systems
- Understand basic principles of aerial photography, satellite remote sensing, and global positioning systems
- Create spatial datasets through air photo interpretation and GPS surveys
- Use ArcGIS software to import spatial data, create custom maps, query spatial databases, and perform basic spatial analyses
- Apply GIS to address real-world environmental science and management
GIS Applications for Natural Resources
An upper-level undergraduate / introductory graduate course focusing on the application of geographic information systems (GIS) tools and techniques and geospatial data for natural resource analysis and management taught entirely in a computer laboratory.
Students will develop an understanding of the data and tools available to conduct spatial analyses with specific applications to natural resource fields.
Students will apply their new skills to address a real-world natural resource conservation or management problem, conduct an analysis, and present the results to the class.
Course will cover concepts, methods and applications useful to a range of natural resource fields (e.g., forest management and planning, wildlife ecology, fisheries, water resources, and recreation management).
Goals: The purpose of this seminar-style course is to provide graduate students with the opportunity to learn basic ‘R’ software programming. Students will be introduced to the both basic computing capability of ‘R’ and other contributed packages, and will acquire a library of well-annotated scripts which they may edit for future use.
Format: We will have a series of “labs” where one or more of the instructors (or other contributors) will introduce a particular application and step through R code pertaining to that application. Materials will be shared via this web site (see "course schedule and content" below).
Advanced Spatial Analysis for Natural Resources
This course aims to familiarize students with advanced theories, technologies, and methods used to analyze spatial data for applications in ecology and natural resources. We do this by exploring current literature and applications of specific problems requiring the use of advanced GIS tools such as spatial analyst, geostatistical analyst and a range of other custom tools, extensions and software packages. We cover techniques for visualizing and modeling spatial data including point pattern analysis, spatial auto-correlation, species habitat modeling, animal movement and home range analysis, and other topics driven by student interest.
Provides the conceptual foundations for integrative research and problem solving in conservation. Addresses the challenges of interdisciplinary research and collaboration between academics and practitioners while also addressing principles to improve collaboration and discussing tools for integrating research and practice across disciplines and the academic/practitioner divide.