Achievement
Trainee develops an improved Bayesian unmixing model
Project
IGERT: Geoinformatics for Environmental and Energy Modeling and Prediction (GEEMaP)
University
University of Iowa
(Iowa City, IA)
PI
Trainee Achievements
Trainee develops an improved Bayesian unmixing model
What are the sources of eroded sediment in rivers? To address this question, Trainee Ben Abban, with help from Associate Feiran Jiao, has developed an improved Bayesian unmixing model and implemented it in the OpenBUGS software. Simulation studies show that their model very accurately estimates what proportion of stream sediment originates from different sources, such as forests and agricultural fields.
SEE MORE:
- “Trainee Achievements”
- Achievements for this Project