Foundational concepts in mapping and geospatial analysis as they apply to conservation. Process and utilize remotely sensed imagery and other geographic data. Hands-on experience using software for storing, managing, and displaying spatial information such as topography, vegetation, soil, and watershed data.
Apply analytical tools to investigate, visualize, interpret, and communicate conservation data. Students will gain hands-on experience with applications such as the R Statistical Computing System, Microsoft Excel, and cloud-based data storage frameworks.
Overview of current tools and best practices for designing research projects and acquiring, managing, and presenting conservation data. Topics include quality control, the importance of metadata, effective research design, statistical power, and other strategies for generating valid answers to important conservation questions.
