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NR 414 Geospatial Analytics for Environmental Change
As climate and land use changes intensify, they contribute to more frequent and severe climate-driven hazards, making the understanding and application of these tools critical for addressing environmental challenges. Through this course, students will become familiar with the main types of geospatial data (vector, raster, point cloud data). Through hands-on data lectures, students will learn geospatial analytics techniques needed to answer practical questions that interrogate geospatial data to answer questions pertaining to environmental change. Students will become familiar with standard libraries in Python for manipulating vector, raster, and point cloud data and interactions with data APIs.
Typically offered in Fall only