Software

Pysochron is a Python-based tool designed to calculate isochron burial ages from in-situ cosmogenic 26Al and 10Be data. It uses orthogonal distance regressions to fit isochron lines to 1000 Monte Carlo simulations of nuclide concentration measurements to account for uncertainty, and allows the user to modify various aspects of the fitting process, including constants relating to the...

This is nimble model code for a hierarchical Bayesian analysis to estimate walrus herd density at multiple sites, where some surveys entailed counting walruses in a sample of grid cells overlain on the surveyed herd on shore; whereas, other surveys were censuses (complete counts.) The model code also predicts herd densities for new surveys taken at existing sites and a new site.

his is an R program for simulating multiple fish populations using species-specific projection matrices, interaction matrices, and bioenergetics submodels with hierarchical stochasticity. This program was designed to model the pallid sturgeon (Scaphirhynchus albus) and associated fish species in the Lower Missouri River (Wildhaber et al. 2024), but it should be sufficiently general to...

This release adds the `data` package, which provides routines to download commonly used datasets from the internet. The release also provides pfdf tutorials as Jupyter Notebooks, improves array broadcasting in the `gartner2014` and `staley2017` modules, and introduces the `RasterMetadata` class (which manages raster metadata without loading data arrays to memory). Documentation: https:/...

DynRat was developed by the USGS to develop dynamic rating models using a method called DYNPOUND, which accommodates compound and compact channel geometry to model hysteresis. The latest release can be downloaded from the releases section in the repository. Additions, bug fixes, changes, and links to releases can be viewed in the [/dynamic-rating/dynrat/-/blob/master/userguide/docs...

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...