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ENSP 305

Applied Spatial Analysis in Environmental Science and Policy

3 Credits

Intended for students interested in pursuing career or graduate research opportunities that will include identifying/querying/processing environmental datasets, detailed spatial analysis of environmental data, and applications of predictive environmental modeling. Students will learn necessary skills to analyze and process environmental data through hands-on training in commonly used software and a series of topical case studies. Data analysis and data processing will be taught using publicly available real-world environmental data sets.

Prerequisites & course information

Prerequisite: GEOG373 ; or permission of Environmental Science and Policy Program. Recommended: ENSP101 and ENSP102 . Restriction: Must have earned a minimum of 60 credits; and permission of Environmental Science and Policy program.

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