Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 618
Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods
Statistical predictions that are based on multiple machine learning (MML) methods (from including differing training regimes) produce differing predictions. When the predictions are combined to a final estimate, then there are residuals of the predictions spread around the final estimate. It is common to assume normality or near-normality of the residuals (errors), but the assumption of normality
NO3GWT version 1.0.0
A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST was reviewed and approved by the journal via this official USGS appr
Comparing datasets by surveillance method using spatial models
This software compares statistical methods to model habitat risk of CWD in white-tailed deer in Pennsylvania using Bayesian hierarchical models in R-INLA and compares these results with model output from WinBugs. The software also uses R-INLA with the Stochastic Partial Differential Approach (SPDE) to compare different surveillance methods to model CWD in relation to habitat features and age and s
Code to Support Hypoxia vulnerability in the salmon watersheds of Southeast Alaska
Oxygen depletion events (hypoxia) in coastal aquatic ecosystems occur more frequently, yet their causes and consequences remain poorly understood. We identified key drivers of hypoxia in Southeast Alaska watersheds for long-term hypoxia monitoring. This software release contains one R script that can be used to calculate hypoxia risk from environmental variables. This R code will re-create Figure
Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome
Code release for a statistical framework that provides a solution to overcome institutionally siloed monitoring activities in order to inform species conservation across large landscapes. Stan code and documentation to provide access and adaptation for other wildlife disease applications.
GRAPES.jl - GRAph Prediction of Earthquake Shaking in Julia (Version 1.0.0)
GRAPES.jl is a Julia-language code for earthquake early warning. GRAPES.jl implements the GRAph Prediction of Earthquake Shaking (GRAPES) algorithm using graph neural networks. The GRAPES.jl package provides code for EEW ground motion predictions.
DGMETA (Version 1): Dissolved Gas Modeling and Environmental Tracer Analysis Computer Program
DGMETA (Dissolved Gas Modeling and Environmental Tracer Analysis) is a Microsoft Excel-based computer program that is used for modeling air-water equilibrium conditions from measurements of dissolved gases and for computing concentrations of environmental tracers that rely on air-water equilibrium model results. DGMETA can solve for the temperature, salinity, excess air, fractionation of gases, or
REDPy - Repeating Earthquake Detector in Python (Version 1.0.0)
REDPy (Repeating Earthquake Detector in Python) is a tool for automated detection and analysis of repeating earthquakes in continuous data. It works without any previous assumptions of what repeating seismicity looks like (that is, does not require a template event). Repeating earthquakes are clustered into families based on waveform similarity via cross-correlation across multiple stations. All d
Population Viability Model for Western Pond Turtle
The code herein uses a triple loop structure to simulate a spatially implicit stage structured matrix model for two species of western pond turtle with parametric uncertainty and temporal stochasticity.
digger: A python package for D-Claw model inputs
Digger is a python package that provides a number of pre- and post-processing tools for working with the D-Claw model.
R code for calculating imperilment of freshwater fish with a Bayesian belief network
This R script is reproduces a Bayesian belief network built within the propriety software program, Netica. The R- and Netica-based belief networks were used in Dunn and Schumann et al. (in press), which presents an approach for calculating imperilment of freshwater fishes.
algaeClassify
The goal of algaeClassify is to facilitate the analysis of taxonomic and functional trait data for phytoplankton.