Skip to main content
U.S. flag

An official website of the United States government

Software

An official USGS software project is code reviewed and approved at the bureau-level for distribution.

Filter Total Items: 400

mapRandomForest---Monthly flow estimation in the Mississippi Alluvial Plain by means of Random Forest Modeling

The code included in this package, when combined with data retrieved from an associated ScienceBase archive, is designed to allow for reasonable monthly total and baseflow volumes to be estimated at arbitrary locations within the Mississippi Embayment as part of the Mississippi Alluvial Plain (MAP) Project. The resulting surface water volume estimates were used as inputs to associated groundwater

grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases

Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States. Sage-grouse are one of the most closely monitor

grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases

Greater sage-grouse (Centrocercus urophasianus) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the western United States. They occupy the sagebrush biome in western North America, extending east of the Sierra Nevada/Cascade Mountain ranges to the western regions of the Great Plains of the United States.

Multi-grid Analysis of Point Stability Tool

Elevation-change datasets can also be used to identify stable and unstable areas of the seafloor. The Multi-grid Analysis of Point Stability (MAPS) program was created to automate this process.

Multi-grid Analysis of Point Stability Tool

Elevation-change datasets can also be used to identify stable and unstable areas of the seafloor. The Multi-grid Analysis of Point Stability (MAPS) program was created to automate this process. This program is used to locate persistent areas of user-defined seafloor stability and/or instability at common geographic locations from multiple elevation-change datasets (grids) representing different ti

MetaIPM

MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model (IPM) for species living in distinct habitat patches. The package stems from a model that compares invasive carp population control strategies. The package supports differing sex and any organisms living in distinct habitat patches.

Stochastic Empirical Loading and Dilution Model (SELDM) software archive

The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures,

North American Bat Monitoring Program: R Data Connection Package

The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/. This code includes the ability to reformat NABat data, upload NABat data, create reports,

North American Bat Monitoring Program: R Data Connection Package

The North American Bat Monitoring Program: R Data Connection Package can be used to extract and upload data to the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Documentation for the database and API can be found at https://sciencebase.usgs.gov/.

WildAgg: an R package to estimate and visualize wildlife aggregation data

This package is designed to estimate, summarize, and visualize wildlife aggregation metrics using location information like GPS collar data. The motivation for the development of this package began with two research efforts studying the aggregation and density of elk on the National Elk Refuge, Wyoming (Janousek et al.2021; and Graves et al. 2021). The primary goal of the WildAgg package is to pro

WildAgg: an R package to estimate and visualize wildlife aggregation data

This package is designed to estimate, summarize, and visualize wildlife aggregation metrics using location information like GPS collar data. The motivation for the development of this package began with two research efforts studying the aggregation and density of elk on the National Elk Refuge, Wyoming (Janousek et al.2021; and Graves et al. 2021).

Bighorn Sheep Risk of Contact Tool

The Risk of Contact Tool (RoCT) is an R-based implementation of the Risk of Contact model described in O'Brien et al. (2014). It uses a variety of spatial inputs (including telemetry point data, a core herd home range (CHHR) polygon, a habitat raster model, and a set of active domestic sheep allotments) together with estimates of bighorn sheep foray behavior to estimate the probability and rate of