Class project utilizing feature engineering, machine learning methods like random forest, kneighbors, and regression. End goal to predict butterfly natal origin based on strontium isotope ratios and plot an isoscape of North America.
Inspired by paper: Reich, Megan S., et al. “Continuous‐surface geographic assignment of migratory animals using Strontium Isotopes: A case study with Monarch butterflies.” Methods in Ecology and Evolution, vol. 12, no. 12, 2021, pp. 2445–2457, https://doi.org/10.1111/2041-210x.13707.
