Sargassum.jl is a package for the Julia programming language that bundles all of the following functionality in one convenient location. Together, this represents a fully featured Sargassum analysis toolkit.
- State of the art physics simulation of Sargassum clumps using Maxey-Riley models with nonlinear spring interactions and customizable biological effects.
- Download raw AFAI data and generate Sargassum distribution maps yourself, or use precomputed maps available starting 2017.
- Plot your data quickly; all major objects can be visualized with one line of code!
- An interface that allows the core tools to be used in a zero-code environment with built-in documentation.
Sargassum.jl was developed by the Nonlinear Dynamics Group at the University of Miami.
If Sargassum.jl contributes to your research, we would be grateful if you cite our work:
@article{bonnerSargassum24,
author = {Bonner, Gage and Beron-Vera, F J and Olascoaga, M J},
title = "{Charting the course of Sargassum: Incorporating nonlinear elastic interactions and life cycles in the Maxey-Riley model}",
journal = {PNAS Nexus},
volume = {3},
number = {10},
pages = {pgae451},
year = {2024},
month = {10},
issn = {2752-6542},
doi = {10.1093/pnasnexus/pgae451},
url = {https://doi.org/10.1093/pnasnexus/pgae451},
eprint = {https://academic.oup.com/pnasnexus/article-pdf/3/10/pgae451/59961289/pgae451.pdf},
}The Sargassum.jl Julia package, authored by Gage Bonner, was developed with the support of the National Science Foundation (NSF) grant OCE2148499 titled 'Collaborative Research: Unraveling Connectivity Constraints and Pathways of Sargassum and the Nature of Their Variability by Building on a Maxey-Riley Framework for Drift Modeling,' awarded to Maria J. Olascoaga (Principal Investigator), along with Francisco J. Beron-Vera and Nathan Putman (co-Principal Investigators).