Software
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: 36
Software for a multi-species Bayesian hierarchical model of bat fatalities at wind turbines (version 1.0.0)
This software release contains the code for modeling and analysis of bat fatality data at a sample of wind energy facilities in the Upper Midwest United States. The model estimates total bat fatalities at each turbine across multiple wind energy facilities, years, and species of bats based on post-construction monitoring data with imperfect detection.
Software for a national model of bat fatalities at wind facilities (version 1.0.0)
This repository contains the code for modeling and analysis of bat fatality data at a sample of wind turbine facilities across the United States. The software is written in R and includes hierarchical Bayesian n-mixture models implemented in JAGS to predict bat fatalities across wind facilities retrospectively from 2001-2024 and under future potential wind development build-out scenarios...
North American Bat Monitoring Program: R Data Connection Package (version 1.2.0)
The North American Bat Monitoring Program: R Data Connection Package v1.2.0 can be used to extract and analyze data from the NABat Monitoring Program through the GQL API. This software is written as a wrapper around the NABat GQL API. Updates to this package include the ability for users to query, analyze, and generate reports for multiple NABat projects simultaneously, the addition of...
cgsim: An R package for simulating conservation relevant outcomes for management actions
Wildlife conservation and management increasingly considers genetic information to plan, understand, and evaluate implemented population interventions. These actions commonly include conservation translocation and population reductions through removals. Change in genetic variation in response to management actions can be unintuitive due to the influence of multiple interacting drivers of...
Identifying Pareto-efficient eradication strategies for invasive populations
Invasive species are a major cause of biodiversity loss and are notoriously expensive and challenging to manage. We developed a decision-analytic framework for evaluating invasive species removal strategies, given objectives of maximizing eradication probability and minimizing costs. The framework uses an existing estimation model for spatially referenced removal data – one of the most...
North American Bat Monitoring Program: R Data Connection Package (Version 1.1.0)
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...
grsg_lekdb: Compiling and standardizing greater sage-grouse lek databases (version 1.3.0)
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...
veg_sim: Modeling Greater sage-grouse habitat suitability 15-years post simulated fire event and sagebrush transplanting (2015-2030)
To assess the degree to which transplanting sagebrush (Artemisia spp.) could quickly restore former Greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) habitat and the strategies by which sage-grouse habitat restoration is best accomplished, we linked vegetation transitions with habitat selection models to evaluate habitat recovery. There are few data-driven...
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...
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...
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...
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...