# Predicting Macroalgal Introductions: A PhD Dissertation

Welcome, brave soul, to the official repository for my doctoral thesis. If you are reading this, you are either a committee member, a fellow academic, or someone who clicked the wrong link. Regardless, you are now privy to the arcane secrets of macroalgal invasion prediction, rendered in the finest LaTeX that 4am coffee-fueled panic can produce.

## What Is This?

This is my PhD dissertation. It uses machine learning, spatial analysis, and a healthy dose of existential dread to predict where invasive macroalgae might show up next. All lovingly typeset in LaTeX, because Word is for undergraduates.

## Structure

- `Dissertation_Robinson2019.tex` — The main event. Compile this for the full experience.
- `aucklandthesis.cls` — The University of Auckland’s official thesis class. Because formatting guidelines are more sacred than science.
- `body/` — Chapters, abstract, acknowledgements, appendix. Each in its own file, so you can ignore the bits you don’t care about.
- `figs/` — Figures. Marvel at the PNGs and JPEGs. Some are even in focus.
- `Refs12Oct19.bib` — Bibliography. All the papers I pretended to have read.

## How To Build

1. Install [TeX Live](https://www.tug.org/texlive/) or [MiKTeX](https://miktex.org/), depending on your operating system and tolerance for pain.
2. Run:
   ```bash
   pdflatex Dissertation_Robinson2019.tex
   bibtex Dissertation_Robinson2019
   pdflatex Dissertation_Robinson2019.tex
   pdflatex Dissertation_Robinson2019.tex