Data Tutorials

Looking to improve your data skills using tools like R or Python? Want to learn more about working with a specific NEON data product? NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.


Build & Work With Functions in R

This tutorial teaches the basics of creating a function in R.

Raster 01: Plot Raster Data in R

This tutorial explains how to plot a raster in R using R's base plot function. It also covers how to layer a raster on top of a hillshade to produce an eloquent map.

Raster 00: Intro to Raster Data in R

This tutorial reviews the fundamental principles, packages and metadata/raster attributes that are needed to work with raster data in R. It covers the three core metadata elements that we need to understand to work with rasters in R: CRS, Extent and Resolution. It also explores missing and bad data values as stored in a raster and how R handles these elements. Finally, it introduces the GeoTiff file format.

Time Series 00: Intro to Time Series Data in R - Managing Date/Time Formats & Simple Plots using ggplot2

This tutorial will demonstrate how to import a time series dataset stored in .csv format into R. It will explore data classes and will walk through how to convert date data, stored as a character string, into a date class that R can recognize and plot efficiently.

Time Series 01: Why Metadata Are Important: How to Work with Metadata in Text & EML Format

This tutorial covers what metadata are, and why we need to work with metadata. It covers the 3 most common metadata formats: text file format, web page format and Ecological Metadata Language (EML).


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