Software

Observation of wild turkey (Meleagris gallopavo) are collected by many state wildlife agencies to monitor reproduction. This code demonstrates how to use generalized linear models to account for when and where data are collected, as well as how to combine data from multiple states to estimate parameters when data may be missing in some years. In addition, the code shows how to test for a...

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.

Science-based grazing management is crucial to preserving and improving rangeland productivity and sagebrush ecosystem health. By adjusting the timing, duration, frequency, and intensity of grazing, managers can contribute to ecosystem services such as fuel reduction and invasive annual grass control. They can also utilize rotational grazing to minimize or mitigate impacts on sensitive...

Grfin Tools (an acronym of Growth + flow + inundation) is a set of software tools for portraying areas potentially impacted by runout from landslides or inundation from geophysical mass-flows (such as debris flows) with or without growth as they travel. Grfin Tools allows users to assess the effects of a wide range of factors that can influence mobility. The software also enables runout

This standalone software application provides a means of inferring water depth from passive optical remotely sensed data via a machine learning-based workflow: Hyperspectral Imaging of River Bathymetry using an Ensemble of Regression Trees, or HIRBERT for short. This approach could provide accurate depth estimates in clear-flowing, relatively shallow streams but is less likely to yield...

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...

R code and Stan models to simulate sample data set, perform parameter estimation, project future scenarios, and produce plots for accompanying publication examining the integrated dynamics of waterfowl and hunter populations through harvest.

This code cleans and analyzes historical King Rail (Rallus elegans) occurrence data in the Arkansas Delta to generate a multi-season spatial occupancy model. The data itself is publicly-available from Arkansas ​Game & Fish Commission.

The USGS User Services, in collaboration with a NASA project, created this compositing workflow that produces Landsat composites for the Ucayali region in Peru. The Ucayali region is located in the heart of the Peruvian Amazon and spans approximately 102,400 square kilometers (39,537 square miles), making it the largest region in the country. The Ucayali experiences significant cloud...

Rapid heating events, such as heatwaves, are becoming more frequent and intense as a result of climate change. Importantly, such extreme weather events can be more important drivers of extirpation and selection than changes in annual or seasonal averages and they pose a particularly large threat to poikilothermic organisms. In this study, we evaluate the thermal stress response of a...

This tutorial guides users on how to complete time series analysis in the cloud, with a focus on snow and glacial retreat at the South Cascade Glacier.

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.