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.

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Time Series 02: Dealing With Dates & Times in R - as.Date, POSIXct, POSIXlt

This tutorial explores working with date and time classes in R. We will overview the differences between As.Date, POSIXct and POSIXlt as used to convert a date/time field in character (string) format to a date-time format that is recognized by R. This conversion supports efficient plotting, subsetting and analysis of time series data.

Time Series Culmination Activity: Plot using Facets & Plot NDVI with Time Series Data

This tutorial is a data integration wrap-up culmination activity for the spatio-temporal time series tutorials.

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).

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 05: Plot Time Series with ggplot2 in R

This tutorial uses ggplot2 to create customized plots of time series data. We will learn how to adjust x- and y-axis ticks using the scales package, how to add trend lines to a scatter plot and how to customize plot labels, colors and overall theme.

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