Skip to main content
U.S. flag

An official website of the United States government

Explore Search: Boosted regression trees

Filter Total Items: 39
Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Histogram-based gradient boosted regression tree model of mean ages of shallow well samples in the Great Lakes Basin, USA

publication
image of publications layered on a wooden table

Mapped predictions of manganese and arsenic in an alluvial aquifer using boosted regression trees

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Fluvial Fish Native Distributions for the Conterminous United States using the NHDPlusV2.1 and Boosted Regression Tree (BRT) Models

publication
image of publications layered on a wooden table

Using boosted regression tree models to predict salinity in Mississippi embayment aquifers, central United States

publication
image of publications layered on a wooden table

Use of boosted regression trees to quantify cumulative instream flow resulting from curtailment of irrigation in the Sprague River basin, Oregon

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013)

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Regression tree datasets used to identify trophic states in Tennessee reservoirs

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin

publication
image of publications layered on a wooden table

Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain

publication
image of publications layered on a wooden table

Developing fluvial fish species distribution models across the conterminous United States—A framework for management and conservation

publication
image of publications layered on a wooden table

Comparison of stream invertebrate response models for bioassessment metric

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer

publication
image of publications layered on a wooden table

Predicting arsenic in drinking water wells of the Central Valley, California

publication
image of publications layered on a wooden table

Predicting tree species presence and basal area in Utah: A comparison of stochastic gradient boosting, generalized additive models, and tree-based methods

publication
image of publications layered on a wooden table

Correspondence of biological condition models of California streams at statewide and regional scales

map
Collage of USGS Maps.

Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

Data for machine learning predictions of pH in the glacial aquifer system, northern USA

publication
image of publications layered on a wooden table

Factors affecting nitrate concentrations in stream base flow

Data Release
USGS

Data used to model and map arsenic concentration exceedances in private wells throughout the conterminous United States for human health studies

publication
image of publications layered on a wooden table

Machine learning predictions of pH in the Glacial Aquifer System, Northern USA

publication
image of publications layered on a wooden table

A tale of two wildfires; testing detection and prediction of invasive species distributions using models fit with topographic and spectral indices

publication
image of publications layered on a wooden table

Predicting biological condition in southern California streams

Data Release
Collage of images of an earthquake, scientists in flood with instruments, a volcano erupting, and seismic illustration.

A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA

publication
image of publications layered on a wooden table

A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA

publication
image of publications layered on a wooden table

Brook trout distributional response to unconventional oil and gas development: Landscape context matters

publication
image of publications layered on a wooden table

Machine-learning predictions of high arsenic and high manganese at drinking water depths of the glacial aquifer system, northern continental United States

Project
The RAM room VisWall display using 24 individual monitor outputs

Documenting, Mapping, and Predicting Invasive Species Using the Fort Collins Science Center's RAM (Resource for Advanced Modeling)

Was this page helpful?