Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin
A histrogram-based boosted regression tree (HBRT) method was used to predict the depth to the surficial aquifer water table (in feet) throughout the State of Wisconsin. This method used a combination of discrete groundwater levels from the U.S. Geological Survey National Water Information System, continuous …