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.


Raster 06: Plot Raster Time Series Data in R Using RasterVis and Levelplot

This tutorial covers how to efficiently and effectively plot a stack of rasters using rasterVis package in R. Specifically it covers using levelplot and adding meaningful, custom names to band labels in a RasterStack.

Raster 07: Extract NDVI Summary Values from a Raster Time Series

This tutorial covers how to extract and plot NDVI pixel values from a raster time series stack in R. We will use ggplot2 to plot our data.

Raster Data in R - The Basics

This tutorial explains the fundamental principles, functions and metadata that you need to work with raster data in R.

HDFView: Exploring HDF5 Files in the Free HDFview Tool

0.25 - 0.5 Hours
Explore HDF5 files and the groups and datasets contained within, using the free HDFview tool. See how HDF5 files can be structured and explore metadata. Explore both spatial and temporal data stored in HDF5!

Create HDF5 Files in R Using Loops

1.0 - 1.5 Hours
Create a HDF5 in R from scratch! Add groups and datasets. View the files with HDFView.


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