Direct human-impact classifications for selected groundwater wells in the conterminous United States, model archive

This data release contains data used to develop and apply a model that estimates the level of direct human-impact on selected groundwater wells in the conterminous United States. An extreme gradient boosting model was developed to estimate the probability of minimal human-impact to water levels in groundwater wells. The model uses human-impact evaluations from regional groundwater specialists at the U.S. Geological Survey and predictor variables that are available in the file GW_class_data.csv. The model is included in this data release in the zipped folder named GW_class_model_archive. The model input data that were used to develop the model and apply the model are in the GW_class_data.csv file. The model output resulting from applying the model to groundwater wells throughout the conterminous United States is included as the file GW_class_predictions in the zipped folder named GW_class_model_archive.

[
  "010:12"
]

[
  "geospatial"
]