Spatiotemporal Arrays, raster and Vector Data Cubes: A project to integrate raster analysis into the tidyverse packages such as sf. Can handle time-aware NetCDF format data.
With links to downloadable vector and raster data to use in the R environment on your local machine. Uses these R packages: dplyr, ggplot2, raster, rgdal, rasterVis, remotes, sf.
Focus on raster analysis. Links to sample data and R Markdown files (don't need to follow the recorded webinar). From the Oak Ridge National Laboratory (ORNL).
The fundamental principles of working with image raster data in R; in particular, multi-band rasters. From the National Ecological Observatory Network (NEON).
Online interactive course from DataCamp. The first of four sections ("Basic mapping with ggplot2 and ggmap") is free. The others require payment ("Point and polygon data," "Raster data and color," and "Data import and projections").
