Software

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 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 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.

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

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 is a python package that provides a number of pre- and post-processing tools for working with the D-Claw model.

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.

The goal of algaeClassify is to facilitate the analysis of taxonomic and functional trait data for phytoplankton.

Code for simulating Spot-tailed earless lizard populations under habitat loss and road mortality threats in central Texas

Predicting the effects of warming temperatures on the abundance and distribution of organisms under future climate scenarios often requires extrapolating species-environment correlations to thermal conditions not currently experienced by a species or to temperatures that exceed the range of observed data. For poikilotherms, incorporating species’ thermal physiology to inform extrapolations under

Results of 11 microsatellites for white-tailed deer collected in Maryland, New York, Ohio, Pennsylvania, and Virginia from 2014 to 2022 for genetic analysis. In this project we assessed genetic structure using different analyses, and evaluated the performance of assignment tests to correctly match deer to origin (defined as genetic cluster, state or physiographic province). This repository include

Estimating High Resolution Multi-Cropped Irrigated Land Use Using a Pesticide Use Reporting Database in California Estimating the amount of water needed for agriculture is vital for food and water security. These estimates rely on maps of crop type and acreage that have limited ground-truthing or represent multiple years or regional cropping patterns. In regions where crops change frequently or m