Data-driven approaches to illuminate the responses of lakes to multiple stressors


Vincent Wang (Computer Science, CE), Karen Jin (Bio/Stats), and Katherine Cottrell (Computer Science) spent ten weeks building tools to educate the public about lake dynamics and ecosystem health. Using data collected over a period of 50 years at the Experimental Lake Area (ELA) in Ontario, the team preprocessed and merged datasets, made a series of data visualizations, and produced an interactive website using R Shiny.

Click here to read the Executive Summary (PDF)

Faculty Lead: Kateri Salk
Project Manager: Kim Bourne



Related People

Computer Science

Biology, Statistics

Computer Science, Electrical and Computer Engineering

Related News

Kim Bourne, Ph.D. student in Civil & Environmental Engineering, discusses what she learned while managing teams of undergraduates on the Data-driven Approaches to Illuminate the Responses of Lakes to Multiple Stressors project team.