Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 962
Science-based Management of Ravens Tool (SMaRT) Science-based Management of Ravens Tool (SMaRT)
The Science-based Management of Ravens Tool (SMaRT) supports a science-based adaptive management framework that incorporates recent quantitative analyses and mapping products for addressing areas with elevated common raven (Corvus corax) numbers and minimizing potential adverse impacts to sensitive species, agricultural damage, and human safety (Dettenmaier et al. 2021). This is a web...
scNIDaregis, Geospatial processing of dams in the United States from the National Inventory of Dams with a state-level aggregation scheme, demonstrated for selected dams in eight states in south-central region of the United States, and post-processing fea scNIDaregis, Geospatial processing of dams in the United States from the National Inventory of Dams with a state-level aggregation scheme, demonstrated for selected dams in eight states in south-central region of the United States, and post-processing fea
This repository contains R language source code used to read eight tab-delimited text files of state-level instances of the U.S. Army Corps of Engineers National Inventory of Dams (NID). The text file were generated from spreadsheets, which themselves are column-trimmed versions of spreadsheets that were downloaded from the public interface to the NID. The focus of the repository is on...
Scoops3D Scoops3D
Scoops3D is software to analyze three-dimensional slope stability throughout a digital landscape.
shinymgr: A framework for building, managing, and stitching Shiny modules into reproducible analyses and reports. shinymgr: A framework for building, managing, and stitching Shiny modules into reproducible analyses and reports.
Shinymgr is an R package that provides a unifying framework for managing and deploying Shiny applications that consist of modules. Developers use the shinymgr framework to write modules and seamlessly combine them into Shiny apps, and users of these apps can execute reproducible analyses that can be incorporated into reports for rapid dissemination. The package includes 11 instructional...
Simulations to understand and validate models Simulations to understand and validate models
This software release contains one R script file that allows the user to download data and reproduce all of the figures and analyses associated with DiRenzo et al. In the R script, we provide a guide to understanding and validating complex models using data simulations. In an effort to facilitate the implementation of these methods, we provide a running example throughout DiRenzo et al...
SolVES SolVES
SolVES is a tool for modeling and mapping social survey response data in relation to explanatory environmental variables. SolVES 4.0 was developed as open-source software with Python and uses the free software packages QGIS for its user interface and PostgreSQL spatially enabled by PostGIS for its source database. Updates to the previous version include minor changes to the source...
Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximation Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximation
This software involves R script to fit models of abundance of mosquito vectors (' Script_for_ECS22-0193_9_13_2215.R') to landscape and environmental covariates using INLA and SPDE. The dataset used for this analysis were originally provided by the Pennsylvania Department of Environmental Protection (DEP) with a confidentiality agreement. The majority of the data used in this study...
Spatial scale selection for greater sage-grouse population trends, Version 1.0.0 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...
spatial_nsm: Spatial estimates of soil-climate properties using a modified Newhall simulation model 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...
StreamStats Channel Width Weighting Services StreamStats Channel Width Weighting Services
This software release contains Python functions for weighting multiple non-independent estimates of a variable. Weighting is determined by the standard error of prediction of each estimate and the correlation between the estimation methods. The methodology for weighting estimates from either two or three different methods is described in Chase and others (2020). A function is also...
ToxMixtures: A package to explore toxicity due to chemical mixtures ToxMixtures: A package to explore toxicity due to chemical mixtures
The ToxMixtures R-package includes a set of functions to analyze, visualize, and organize measured chemical concentration data as it relates to chemical mixtures. ToxMixtures combines outputs from the R-package toxEval with open access sources on molecular biology to provide information on potential biological effects of chemicals detected in environmental matrices. To use ToxMixtures...
U.S. Geological Survey Hydrologic Toolbox Software Archive U.S. Geological Survey Hydrologic Toolbox Software Archive
This software archive is superseded by Hydrologic Toolbox v1.1.0, available at the following citation: Barlow, P.M., McHugh, A.R., Kiang, J.E., Zhai, T., Hummel, P., Duda, P., and Hinz, S., 2024, U.S. Geological Survey Hydrologic Toolbox version 1.1.0 software archive: U.S. Geological Survey software release, https://doi.org/10.5066/P13VDNAK. The U.S. Geological Survey Hydrologic Toolbox...