Software and Tutorials

Open-source R packages and tutorials from my research. Each one lives on GitHub with installation notes and documentation.

R packages

landfall. Site maps and colony records for Antarctic expeditions. It draws a relief map of the surroundings of any Antarctic site from Reference Elevation Model of Antarctica (REMA) terrain and Antarctic Digital Database (ADD) coastlines, and places a new penguin colony count against the site’s long-term record in MAPPPD, the Mapping Application for Penguin Populations and Projected Dynamics. Everything a trip needs is packed into a local folder beforehand, so the figures render with no network connection. Code on GitHub.

frazil. Downloads the NSIDC Sea Ice Index and draws Antarctic sea ice maps, extent charts, and a yearly animation for any date and region. Code on GitHub.

esme (Earth System Model Extract). Attaches weather and astronomical covariates to timestamped point locations such as bird detections. It samples NOAA HRRR and ECMWF ERA5 by nearest grid cell with hourly interpolation and computes sun and moon covariates, and new datasets plug in through profiles. Code on GitHub.

wildrice. Radio propagation coverage modeling for Motus wildlife tracking receiver stations. It combines the Longley-Rice Irregular Terrain Model, compiled to C++, with a lidar-derived surface model and directional antenna gain patterns to predict signal attenuation from every grid cell within about 17 km of a station. Developed at BRI for the calibration of the New Jersey Motus network. Code on GitHub.

Tutorials and analysis frameworks

Harmonizing Antarctic Sea-Ice Datasets. A reproducible R tutorial for combining two satellite sea ice products that differ in resolution and time span into one continuous record. It rebuilds the harmonized western Antarctic Peninsula dataset behind Wethington and Lynch (2026) using a small neural network trained on the years the two products overlap, and it runs on a bundled sample so you can work through it in minutes. Read the tutorial or get the code on GitHub.

Motus Terrestrial Calibration, New Jersey. The calibration framework for Motus receiver stations operating at 434 and 166 MHz. Drone-mounted transmitter surveys collect georeferenced signal strength measurements across New Jersey coastal habitats, which are compared against Longley-Rice predictions to estimate station-specific correction factors and detection volumes. Code on GitHub.