Spatial Conservation Prioritization credit:

3 Hours

Examines approaches for spatial prioritization for conservation planning and environmental management. This course integrates a variety of methods and tools to help develop applied skill sets for collecting, processing, modeling, analyzing, and storing geospatial and remotely sensed data. The exercises in this course provide hands-on learning with real-world spatial and remote sensing datasets and demonstrate the processes involved for spatially prioritizing conservation efforts and communicating results and recommendations to environmental managers. 3 undergraduate hours. 3 graduate hours. Credit is not given toward graduation for: . Prerequisite: NRES 455 or GGIS 476 . Alternatively, students with an introductory-level GIS course (e.g., NRES 454 or GGIS 379 ) and introductory-level programming language skills (R, python, etc.) can register.