R
R is a free and open-source programming language and software environment that is one of the most widely used tools in data science, research, and statistical analysis. RStudio is an integrated development environment (IDE) that provides an organized works pace for writing code, exploring data creating visualizations, and managing projects. R is becoming increasingly popular for geospatial analysis and other GIS related tasks and includes a number of packages developed specifically for spatial data analysis. R can work with the most popular spatial data types and offers the ability to combine spatial analysis with advanced statistical modeling.
R and RStudio works on Windows, Mac, and Linux is available at no cost to anyone.
Having a basic understanding of R would prove helpful in completing these tutorials. Please see the library’s Learn R tutorials developed by Dr. Jeff Oliver below:
Learn R
Below you will find a number of basic tutorials related to geospatial data in R that are meant to serve as a quick start guide to using R and RStudio Please note that tutorials one, two, and three are meant to be completed in a sequence.
Tutorial 0: Downloading R and RStudio
Vector Data
Tutorial 1: Opening R Studio and Starting a Project
Tutorial 3: Creating a Basic Map
Raster Data