Software

Classifying UAS soil burn severity and scaling up to satellite with Python

MetaIPM is a Python package (Python Software Foundation 2020) that models meta-population dynamics and continuous growth rates via an integral projection model (IPM) for species living in distinct habitat patches. The package stems from a model that compares invasive carp population control strategies (Erickson et al. 2018). For example, Erickson et al. (2017) used an R predecessor version of this

This software release contains 7 R markdown files, the contents of which are described below. The raw data analyzed in these files is available at the following DOI: https://scholarworks.umass.edu/data/175/ 1. SEMs_Native.Rmd - Code for the piecewise structural equation model (pSEM) that predicts native plant richness on islands using the covariates described in the manuscript. -

#ArrayAbundance: An R package to explore and model detection data from antenna arrays The goal of Rpackage is to help modelers format passive integrated transponder (PIT) tag array detection data for data exploration and for analysis with mark-recapture models. The package includes functions to categorize array detection data into movement categories (e.g., migratory movement versus potential resi

The hyswap-geospatial-data-assembly contains function scripts that acquire and pre-process geospatial data used as input for hyswap (HYdrologic Surface Water Analysis Package), a Python package with functions for manipulating hydrologic data and visualizing current conditions with a historical context. hyswap-gda supports hyswap by providing functions that process required spatial inputs data. Thi

WAECAST allows managers to input lake characteristics to determine the likelihood of stocking success based on data in the models in this study. Additionally, projections of Walleye stocking success that consider climate change are provided as part of the tool to understand the potential future impacts of lake warming.

There are 2 Jupyter notebooks that are example code for implementing a physics informed neutral network, and the code is companion to the manuscript entitled: "Spatio-temporal ecological models via physics-informed neural net- works for studying chronic wasting disease" by Reyes et al. (2024). The first notebook simulates data, and the second notebook uses this simulated data when implementing an

The primary purpose of this software is to document the analytical methods and code used to fit false-positive N-mixture models and make status and trends predictions from: "Using mobile acoustic monitoring and false-positive N-mixture models to estimate abundance and trends for three bat species affected by White-nose syndrome" by Udell et al. 2024. In particular, these methods were used to analy

The Pedestrian Evacuation Analyst is an ArcGIS Pro toolbox that estimates how long it would take for someone to travel on foot out of a hazardous area that was threatened by a sudden event such as a tsunami, flash flood, or volcanic lahar. It takes into account the elevation changes and the different types of landcover that a person would encounter along the way.

The spheroid90gp software package computes surface displacements and cavity compressibility due to pressure or volume changes in buried vertical spheroidal elastic cavities. The software uses supervised machine learning techniques based on parallel partial Gaussian process emulators. The technique yields the accuracy of a numerical model at a computational cost comparable to that of some analytica

This ShinyApp provides users the ability to subset animal diel activity results by species, country, or project.