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SWFL Red Tide Machine Learning Project

This repository contains data processing workflows, environmental datasets, and machine learning models used to analyze Karenia brevis bloom dynamics in Southwest Florida.

The project integrates hydrologic discharge, nutrient concentrations, and environmental drivers from the Peace River, Caloosahatchee River, and Tampa Bay regions.

Project Website

Full documentation, figures, datasets, and downloadable notebooks are available here:

https://mkduus.github.io/red-tide-book/

Repository Structure

data/ – environmental datasets used in the analysis
docs/ – generated static site served through GitHub Pages
notebooks/ – Jupyter notebooks for modeling and visualization

Notebooks

  • Watershed spatial analysis and mapping
  • Data integration for SWFL environmental drivers
  • Random Forest bloom probability model (SWFL)
  • Extended model including Tampa Bay

Reproducibility

All datasets and notebooks used in the analysis are available for download through the project website.