This tutorial series explain the background and necessary information for
working with temporal and spatial data in
R Skill Level: Intermediate - you’ve got the basics of
R down but haven’t
worked with temporal or spatial data in
After completing this series, you will:
To complete the tutorial series you will need an updated version of
preferably, RStudio installed on your computer.
is a programming language that specializes in statistical computing. It is a
powerful tool for exploratory data analysis. To interact with
R, we strongly
an interactive development environment (IDE).
You can chose to install packages with each lesson or you can download all
of the necessary
R Packages now.
Set Working Directory: This lesson assumes that you have set your working
directory to the location of the downloaded and unzipped data subsets. An overview
of setting the working directory in
R can be found here.
R Script & Challenge Code: NEON data lessons often contain challenges that reinforce
learned skills. If available, the code for challenge solutions is found in the
R script of the entire lesson, available in the footer of each lesson page.
Working with Spatio-temporal Data in R Series: This tutorial series is part of a larger spatio-temporal metaseries and Data Carpentry workshop. Included series are Introduction to Spatial Data and Spatial Data Management, Introduction to Working With Raster Data in R, Introduction to Working With Vector Data in R and Introduction to Working With Time Series Data in Text Formats in R.