Software

Flathead Catfish _Pylodictis olivaris_ are a prominent aquatic invasive species within the United States and a recent invader in the Susquehanna River Basin, Pennsylvania. Flathead Catfish are piscivores known to consume native and recreationally important fish species. In the northeastern United States, it is unknown how this invader is impacting food webs and which species may be at...

This Python package provides functions to simulate advection and dispersion of numerical particles using a lagrangian particle-tracking algorithm for 2 and 3-dimensionl hydraulic simulation results. Users may customize particle subclasses to provide custom particle classes. For example, the drift of larval fish, by creating classes to add behavior to particles. (McDonald and Nelson, 2021...

R code for modeling survival of nestling and fledgling golden eagles. It is supplemental material for a manuscript submitted to Journal of Raptor Research.

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.

gravmagsubs is a software package for the R language that provides tools for forward modeling gravity and magnetic anomalies from 3-D right rectangular prisms. The gravity anomaly is defined as the vertical component of gravitational acceleration, while the magnetic anomaly includes the effects of both induced and remanent magnetization. The package can model the total anomaly from a...

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...

Groundwater and Surface-water FLOW (GSFLOW) was developed to simulate coupled groundwater and surface-water resources. The model is based on the integration of the U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) and the U.S. Geological Survey Modular Groundwater Flow Model (MODFLOW).

The Habitat Risk Software leverages a previously published Bayesian hierarchical model framework (Clayton and Kaldor 1987; Banderjee et al. 2004; Gelman et al. 2004; Evans et al. 2016) with opportunistic (hunter-harvest) wildlife surveillance disease testing data and publicly available geospatial (raster) data to estimate the geographical risk that a hunter will harvest a white-tailed...

Heavy is a Fortran program for calculating the change in gravity caused by the change in groundwater storage as predicted by a MODFLOW groundwater-flow model. Gravity change is calculated relative to the initial time step at user-specified locations (e.g., measurement locations). At each location, the gravitational attraction is the sum of the attraction caused by storage change...

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...

Herein we present a simulation model to predict future prey and hunter populations in a stochastic population simulation model. In the simulation script the two populations (prey and hunters) are linked through feed back functions, where the hunters can affect the prey abundance through harvest rate and harvest success functions, and the prey affects hunter population retention and...

The term hydrolink is being defined as the linkage of spatial data to a stream network. This is similar to the analogy of providing an address on a road network and provides locational context and position within a stream network. Hydrolinking data to a common stream network allows information to be centralized helping support landscape scale analyses and modeling efforts. Versions of...