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This webpage has descriptions of and links to computer programs that can be downloaded online. To view USGS-series publications related to software, please visit the publications webpage of this website.

Filter Total Items: 29

Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0)

The primary purpose of this software is to document the analytical methods and code used to fit false-positive N-mixture models and make status and trends predictions from: "Using mobile acoustic monitoring and false-positive N-mixture models to estimate abundance and trends for three bat species affected by White-nose syndrome" by Udell et al. 2024. In particular, these methods were used to analy

dem_getter Python tool for acquiring digital elevation models and derivatives from The National Map

This repository houses a set of Python tools to expedite the acquisition of 3DEP DEM data. These tools were designed to help geologists in the National Cooperative Geologic Mapping Program more efficiently produce high-resolution base maps and tailored derivative products that help identify and characterize geologic features. These derivatives include hillshades and slope maps, as well as more com

North American Bat Monitoring Program: NABat Acoustic ML (version 2.0.0)

Bats play crucial ecological roles, and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to assess status and trends of bat populations, while developing innovative and community-driven conservation solutions using its unique data and technology infrastructure. To support scal

Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU)

BMRGSU is software developed by the U.S. Geological Survey for Bayesian mapping of regionally-grouped, sparse, univariate, Earth-science data. This software implements an algorithm that smooths the estimated property across regions so that the deleterious effects of sparse data are mitigated. The algorithm can account for measurements that are censored, it can process multiple datasets with differ

HOPS: Hyperparameter optimization and predictor selection

We developed the hyperparameter optimization and predictor selection (HOPS) software to optimize hyperparameters and predictor selection while limiting correlation among the selected predictors for machine learning models. Including correlated predictors in machine learning models can distort model estimation and prediction and introduce bias in predictor importance estimates. The HOPS software ex

grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases, version 1.2.0

Greater sage-grouse (Centrocercus urophasianus; hereafter referred to as sage-grouse) are landscape-scale sagebrush obligate species and an important gamebird and iconic species of the West (Hanser & Knick, 2011; Rowland et al., 2006). 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

Scenario Analysis of Management Alternatives for Free-roaming Horse Populations (Version 1.0.0)

PopEquus is a predictive modeling tool to support decisions related to the management of free-roaming horse populations. It permits the simulation and comparison of how management alternatives influence horse population size and metrics associated with management. This repository uses R scripts with predictive functions from the PopEquus model to simulate how management alternatives (e.g., removin

Software for SIR 'Effect of Data Pooling on Predictions From the Three-Part Method for Quantitative Mineral Resource Assessment-An Investigation of a Previous U.S. Geological Survey Assessment'

The Three-Part Method for Quantitative Mineral Resource Assessment has been used by the USGS to predict mineral resources since at least 1975. These predictions use pooled data, and the effects of the pooling on the predictions is investigated and reported in the forthcoming USGS publication. The calculations and figures for this report are performed with software that will be permanently stored i

PopEquus: A Predictive Modeling Tool to Support Management Decisions for Free-roaming Horse Populations, Version 1.0.1

PopEquus is a website application that can be used to understand trade-offs and inform decisions in free-roaming horse (Equus caballus) population management. The application ( contains a predictive population modeling tool that can be used to simulate how different management actions drive changes in horse population size, while measuring management costs and o

popcluster: hierarchical population monitoring frameworks, Version 2.0.0

We developed a method to construct hierarchically nested and biologically relevant groupings of similar habitats associated with field surveys while considering structure/connectedness (movements between habitats). This approach can support mobile species using high fidelity sites where monitoring during surveys occurs, such as birthing grounds, breeding grounds, or stopovers/seasonal habitats for

Spatial scale selection for greater sage-grouse population trends, Version 1.0.0

The distance within which populations respond to features in a landscape (scale of effect) can indicate how disturbance and management may affect wildlife. Using annual counts of male greater sage-grouse (Centrocercus urophasianus) attending 584 leks in southwest Wyoming (2003-2019) and estimates of sagebrush (Artemisia spp.) cover from a remote sensing product (Rigge et al., 2021; Monroe et al.,

spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model

We developed a software framework to estimate high-resolution spatiotemporal soil moisture (monthly, annual, and seasonal) and temperature-moisture regimes. Our approach builds on the Newhall simulation model, allowing for the substitution of data and parameters, such as climate, snowmelt, soil properties, alternative potential evapotranspiration equations, and air-soil temperature offsets. The Ne