Software

Amid climate change and rapidly shifting land uses, effective methods for monitoring natural resources are critical to support scientifically-informed resource management decisions. The practice of using Autonomous Monitoring Units (AMUs) to monitor wildlife species has grown immensely in the past decade, with monitoring projects across species from birds, to bats, amphibians, insects, terrestrial

Model Viewer is a computer program that displays the results of three-dimensional ground-water models. Scalar data (such as hydraulic head or solute concentration) may be displayed as a solid or a set of isosurfaces, using a red-to-blue color spectrum or a custom color scale to represent a range of scalar values. Vector data (such as velocity or specific discharge) are represented by lines oriente

The GrAdient-Related Discharge in an Everglades Network (GARDEN) software computes flow in the Greater Everglades with a command-line Python script (Python Software Foundation. The script validates command-line arguments, fetches necessary EDEN water-level and depth data by means of the Xarray Python package, and then converts the data to imperial units (centimeters to feet). The main calculation

This repository contains an example application of the Meta-IPM Python package (https://doi.org/10.5066/P9427H6M). The specific application focuses on the Illinois River using existing public data. The code for this project assumes the reader is familiar with Jupyter Notebooks, enough Conda and Python to install the Meta-IPM package, and population ecology. The example also assumes the user is fam

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