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The goal of this lesson is to provide an introduction to R for learners working with geospatial data. It is intended as a pre-requisite for the R for Raster and Vector Data lesson for learners who have no prior experience using R. This lesson can be taught in approximately 4 hours and covers the following topics:
- Working with R in the RStudio GUI
- Project management and file organization
- Importing data into R
- Introduction to R's core data types and data structures
- Manipulation of data frames (tabular data) in R
- Introduction to visualization
- Writing data to a file
The the R for Raster and Vector Data lesson provides a more in-depth introduction to visualization (focusing on geospatial data), and working with data structures unique to geospatial data.
Data Carpentry's teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow.
This lesson assume no prior knowledge of R.To get started, follow the directions in the "[Setup]({{ relative_root_path }}/{% link setup.md %})" tab to download data to your computer and follow any installation instructions. {: .prereq}