Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
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Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data
It is convenient to measure or estimate variation in samples or distributions in units of standard deviations. There are alternative methods of estimation of standard deviation aside from the conventional and well-known definition. Estimation of standard deviation for very small samples (as small as two), whereas not always ideal, might be useful in certain practical circumstances. A...
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 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...
NO3GWT version 1.0.0 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...
Comparing datasets by surveillance method using spatial models 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...
Code to Support Hypoxia vulnerability in the salmon watersheds of Southeast Alaska 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...
Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome 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.