Software

This code release fits a Bayesian logistic regression model to predict the probability that stream segments flowing through National Park lands in Alaska are considered navigable, based on slope (drop in elevation / segment length) and Strahler stream order, an ordinal metric with values ranging from 1-6. The model uses existing navigability determinations for a subset of stream segments...

There exist at least two R packages for analysis of compositional data (Templ and others, 2023; van den Boogaart, 2024). Both packages have many functions for various types of analysis. Nonetheless, a package that performs just the computations for compositional data is needed for at least two reasons: First, such a basic package can be incorporated into other packages that perform...

This software automatically generates synthetic elevation checkpoints suitable for assessing the vertical error on remotely-sensed topographic data such as Digital Elevation Models (DEMs), Digital Surface Models (DSMs), and point clouds. The software ingests a user-provided timeseries of DEMs, a road polyline dataset, and an impervious surface classification in order to place synthetic...

R Code to run shortnose sturgeon population estimates for Higgs et al. 2025 The purpose of this software is to estimate the abundance of overwintering shortnose sturgeon using acoustic telemetry and side-scan sonar data. The code is based on work conducted on the Hudson River, New York, but could be readily adapted to other applications with a similar study design.

This is the repository for an R Shiny App that allows users to create sea ice records for the Bering and Chukchi seas from diatom data. Users will upload a data set of diatom percentages and the app will return predictions of spring (March, April, May, June_ sea ice concentrations based on a generalized additive model of surface sediment assemblages in the Bering and Chukchi Seas. Please...

This software release contains the code for modeling and analysis of bat fatality data at a sample of wind energy facilities in the Upper Midwest United States. The model estimates total bat fatalities at each turbine across multiple wind energy facilities, years, and species of bats based on post-construction monitoring data with imperfect detection.