Software

This repository includes R code to run nest, brood, and adult hierarchical logistic exposure models, used for analyzing survival responses of Greater sage-grouse (Centrocercus urophasianus) to a suite of environmental covariates, with emphasis on precipitation and/or drought effects. An example population state-space model (the top model according to WAIC; see manuscript results and...

This software release contains the code necessary to produce the elk habitat selection models used to support the U.S. Fish and Wildlife Service (FWS) feeding decisions for the National Elk Refuge. This update provides additional analyses pertaining to an additional management scenario considered by FWS ('Alternative D').

Model space-time data with Gaussian processes. Geostat makes it easy to implement Gaussian Process (GP) models with complex covariance functions and has built-in capabilities for geoscience problems.

This software release contains a generalized workflow to setup particle tracking analyses to assess groundwater travel times at the Navy-Northrop-Grumman site, in Nassau County, New York. This approach uses the posterior "texture model" inset model described by Fienen and others (2024) and made available in Corson-Dosch and others (2023) that simulates groundwater flow in the sole-source...

This repository contains data and code supporting the Gilbert et. al manuscript entitled, "Reproductive habitat mismatch influences chytrid infection dynamics in a tropical amphibian community". The objective of the paper is to identify the influence of life history, rainfall, and habitat on chytrid infection dynamics in a frog community in Brazil’s Atlantic Forest. The code (see...

This project compared methods for estimating large scale patterns of animal resource selection and species distribution to demonstrate the benefits of marginalized space-time point process models.

This standalone software application provides an integrated set of tools for inferring river discharge Q from remotely sensed data based on critical flow theory, a method introduced by Legleiter et al. (2025). This approach can yield accurate streamflow estimates in rivers with well-defined standing wave trains, referred to as undular hydraulic jumps (UHJ's). Once an image with clearly...

SURF is an algorithm to generate 3D fault models. This algorithm utilizes open-source, well known and documented packages, to generate fault models that require very few user input parameters.

Land managers seek to understand whether treatments they implement effectively achieve their goals to support, or at least not negatively impact, species of concern. This power analysis identifies minimum data collection needs to estimate treatment impacts when baseline species community information is lacking, and when there is significant risk of violating the species exchangeability...

This code uses Nimble to run a Bayesian hierarchical model using both linear and nonlinear features. The model assesses the effects of various changes in white-tailed deer (Odocoileus virginianus) harvest regulations on realized annual antlerless harvest. Eight states participated in this analysis and all data was unified to a common definition through extensive consultation with experts...

ezMCDA is a user-friendly software to conduct Multicriteria Decision Analysis (MCDA) while considering uncertainty and nonlinear utility functions.

This product is a series of Jupyter Notebook tutorials that are designed to help researchers preprocess data and statistically compare modelled and observational precipitation, temperature, and radiation data. The first notebook walks researchers through setting up their environment, important concepts, querying data sources, and filtering their data to the same temporal and spatial...