Software

The Pennsylvania Groundwater Monitoring Network (GWMN) is a cooperative effort between the U.S. Geological Survey Pennsylvania Water Science Center and the Pennsylvania Department of Environmental Protection (PaDEP) that samples ambient groundwater quality wells throughout the State. Data collection has occurred since 2015 for major ions, trace metals, nutrients, and organic compounds...

We developed a method to construct hierarchically nested and biologically relevant groupings of similar habitats associated with field surveys while considering structure/connectedness (movements between habitats). This approach can support mobile species using high fidelity sites where monitoring during surveys occurs, such as birthing grounds, breeding grounds, or stopovers/seasonal...

This software code was developed to estimate the probability that individuals found at a geographic location will belong to the same genetic cluster as individuals at the nearest empirical sampling location for which ancestry is known. POPMAPS includes 5 main functions to calculate and visualize these results (see Table 1 for functions and arguments). Population assignment coefficients...

poscrptR is a simple R package with the sole purpose of distributing a shiny app for predicting post-fire conifer regeneration. Learn more about shiny apps here.

The need to assess the effects of variability in climate, biota, geology, and human activities on water availability and flow can be assessed with computer models that simulate the hydrologic cycle at a watershed scale. The Precipitation-Runoff Modeling System (PRMS) is a deterministic, distributed-parameter, physical process-based modeling system developed to evaluate the response of...

The need to assess the effects of variability in climate, biota, geology, and human activities on water availability and flow can be assessed with computer models that simulate the hydrologic cycle at a watershed scale. The Precipitation-Runoff Modeling System (PRMS) is a deterministic, distributed-parameter, physical process-based modeling system developed to evaluate the response of...

This software involves files to fit the physiologically-guided abundance (PGA) model ('fish_predictions_pga.R'), a naive model ('fish_predictions_naive.R'), and a PGA model using simulated data ('PGA_sim.R'). Each R file calls as associated .stan file that contains the model code that is executed by stan when running the R code ('fish_prediction.stan', 'fish_prediction_naive.stan', and...

R code and .stan files for fitting physiologically guided abundance models for predicting climate change impacts on poikilotherms.

Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. Bromaghin et al. (In press) used computer simulation to compare the bias of several QFASA estimators and developed recommendations regarding estimator...

This code repo contains three novel scripts used in Weiser et al. (2022): one to calculate the footprint of an aerial photo (01_function_photo_footprint.r), one to run a simulation to evaluate sample sizes for the photographic survey (02_photo_sample_size_sim.r), and one to run a simulation to evaluate sample sizes for the ocular survey (03_ocular_sample_size_sim.r). For more information...

The ReplicateChar package in R language provides functions for visualization and analysis of replicated charcoal counts within a discreet sedimentary horizon. The package consists of 1000+ lines of code and requires Windows OS for full functionality. It also integrates and automates the CharAnalysis.exe software (Higuera et.al) and allows for more efficient run times of high volumes of...

Tools for interacting with U.S. Geological Survey ScienceBase https://www.sciencebase.gov interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.