Articles • heatwaveR

Core workflows for day-to-day package use.

Basic Detection and Visualisation of Events: This vignette demonstrates the basic use of the heatwaveR package for the detection and visualisation of events.
Calculating and Visualising Event Categories: This vignette deomonstrates how to calculate and visualise the categories for events.
Calculating and Visualising Exceedances: This vignette demonstrates the use of the exceedence function.

Alternative thresholds, trend analysis, gridded data, and export pipelines.

Alternative Thresholds: This vignette walks the user through multiple different options for creating and applying thresholds outside of the default settings.
Trend and Breakpoint analyses in MHW metrics: This vignette demonstrates the utility and limitation of running a trend and break point analyses in MHW metrics.
Downloading and Preparing NOAA OISST Data: This vignette demonstrates how to download NOAA OISST data and prepare them for the detection of marine heatwaves.
Detecting Events in Gridded Data: This vignette demonstrates how to detect marine heatwaves (MHWs) in dataframes of gridded data in which each pixel is a separate time series.
Download, Prepare, and Analyse NOAA OISST Data: Alternative Methods: This vignette demonstrates an alternative method for downloading NOAA OISST data (using a python script) and preparing and detecting marine heatwaves.
Saving MHW Results to NetCDF: This vignette demonstrates how to save marine heatwaves (MHWs) detected from gridded data as a NetCDF file.

Development notes and internal workflow documentation.

heatwaveR internal workflow: This vignette outlines the internal workflow structure of the heatwaveR package.