Introduction to spatial analysis in R (rasters)

Jamie Afflerbach

Click here for the tutorial

R is getting better and better for spatial data visualization and analyses. This tutorial specifically focuses on working with raster, or gridded, data in R.

The tutorial is laid out as an exploratory analyses similar to those I've done myself. The objective of this tutorial is to use different types of raster data to answer the fictional scientific question:

What areas within the California Current are suitable for seamonkey aquaculture?

Along the way you'll learn how to read, reproject, crop, mask, run calculations and zonal statistics, plot, save and more with raster data in RStudio.