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.
Cumulative variable importance.
Text yourself from R when long running jobs complete.
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.
An adaptation of PapR to 30,000 American Geophysical Union abstracts.