using Machine Learning to Predict Locations of Springs in Wisconsin
Anthony Wendel ’20 majored in geology and physics and minored in computer science. For his senior thesis, he combined his interests in geology and computer science to apply machine learning to the analysis of recently collected data on Wisconsin’s freshwater springs (Swanson et al., 2019). Anthony’s aim was to visualize patterns where springs are most likely to be found and to eventually predict locations of springs still undiscovered. Python and ArcGIS were used to manipulate and display the data.
Anthony’s research was supervised by assistant professor of mathematics and computer science Eyad Haj Said and professor of geology Sue Swanson, who also contributes to the environmental studies program.