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.


Going On The Grid -- An Intro to Gridding & Spatial Interpolation

An overview of the basics needed to begin to exploring converting point data into raster or gridding format.

Plot Spectral Profiles Derived from Hyperspectral Remote Sensing Data in HDF5 Format in R

1.0 - 1.5 Hours
Extract a single pixel's worth of spectra from a hyperspectral dataset stored in HDF5 format in R. Visualize the spectral profile.

Spatial Data Tutorial Series Capstone Challenges

0.5 - 1.0 Hours
This page contains capstone activities that complement several spatial data tutorial series.

Filter, Piping and GREPL Using R DPLYR - An Intro

1.0 - 1.5 Hours
Learn how to use the filter, group_by, and summarize functions with piping in R's dplyr package. And combine these with grepl to select portions of character strings.

Introduction to HDF5 Files in R

1.0 - 1.5 Hours
Learn how to build a HDF5 file in R from scratch! Add groups, datasets and attributes. Read data out from the file.


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