r4wrds
R for water Resources Data Science.
A few things I've built over the years.
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.
Cumulative variable importance.
Text yourself from R when long running jobs complete.
Groundwater quality data visualization.
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.
An adaptation of PapR to 30,000 American Geophysical Union abstracts.