R for water Resources Data Science.
Domestic well failure prediction and cost estimates in critically overdrafted basins.
Real-time sensor networks and dashboards for monitoring environmental data.
Automated water quality reports for 3,000 California public water systems. 🏆 Winner 2019 California Water Data Challenge.
Groundwater quality data visualization.
Upload a shapefile of a study area to return clean OSWCR data from that area.
Exploratory data analysis of California's Online State Well Completion Report Database.
Using random forests, boosting, LDA, and QDA with variable probability thresholds for global landslide classification.