Trash Reduction Tracking with Bayesian Estimates

Spatiotemporal analysis of urban trash accumulation by leveraging urban trash condition data to quantify their degree of certainty at a granular spatial scale via Bayesian credibility intervals.

Findings published in Computers, Environment and Urban Systems (Conley et. al, 2019).