Advanced Geospatial Analysis with Python for the Earth Sciences

4 credits

Advanced application of geospatial analysis and spatial numerical methods in the earth sciences, particularly using Python scripting. Hands-on, "workshop" approach exploring topics of interest to students: e.g., 3D (sub-) surface analysis; hydrologic routing/modeling; dynamic landscape change; image interpretation; and pattern analysis/geostatistics. Course activities combine instructional lab exercises with independent project research. Prerequisite: ESS 329.