Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States
January 23, 2024
This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).
Citation Information
| Publication Year | 2024 |
|---|---|
| Title | Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States |
| DOI | 10.5066/P9DVPJIX |
| Authors | Susan Wherry, Jim Tesoriero, Danielle I Dupuy |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Oregon Water Science Center |
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