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.

Code for all script based tutorials can be downloaded at the end of the tutorial. Original files can also be found on GitHub.

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Data Activity: Visualize Elevation Change using LiDAR in R to Better Understand the 2013 Colorado Floods

This tutorial teaches how to use Digital Terrain Models derived from LiDAR data to create Digital Elevation Models of Differences that allow us to measure the change in elevation of an area after a disturbance event.

Image Raster Data in R - An Intro

This tutorial explains the fundamental principles, functions and metadata that you need to work with raster data, in image format, in R. Topics include raster stacks, raster bricks, plotting RGB images and exporting an RGB image to a GeoTIFF.

Open HDF5 files with Python Sample Code

This tutorial provides basic code for opening an HDF5 file in Python using the h5py, numpy, and matplotlib libraries.

Interactive Data Vizualization with R and Plotly

Learn the basics of how to use the plotly package to create interactive plots and use the Plotly API in R to share these plots.

Hierarchical Data Formats - What is HDF5?

0.25 - 0.5 Hours
An brief introduction to the Hierarchical Data Format 5 (HDF5) file/data model. Learn about how HDF5 is structured and the benefits of using HDF5.

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