WORK IN PROGRESS

This is part 3 of a series aimed to provide guidance for different plotting techniques for Matilda results. In this tutorial, users are guided through plotting warming results as a probability density curve. This data is visualized using a density curve color coded by temperature range.

This is part 2 of a series aimed to provide guidance for different plotting techniques for Matilda results. In this tutorial, users are guided through plotting warming probability results. This data is visualized using a horizontal stacked bar plot

This is part 1 of a series aimed to provide guidance for different plotting techniques for Matilda results. In this tutorial, users are guided through plotting model projections and using color to code weights for each model run.

This tutorial uses the parallel package to run Matilda `iterate_model()` using single-node parallel computing.

This tutorial is a simple walk through of how add apply() and Map() to a Matilda workflow. This can be used to simplify multiple Matilda runs.