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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Document & Publish Your Workflow: R Markdown & knitr

This tutorial introduces the importance of tools supporting documenting & publishing a workflow.

Download a NEON Teaching Data Subset & Set A Working Directory In R

This tutorial explains how to set a working directory in R. The working directory points to a directory or folder on the computer where data that you wish to work with in R is stored.

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.

Vector 05: Crop Raster Data and Extract Summary Pixels Values From Rasters in R

This tutorial covers how to modify (crop) a raster extent using the extent of a vector shapefile. It also covers extracting pixel values from defined locations stored in a spatial object.

Vector 04: Convert from .csv to a Shapefile in R

This tutorial covers how to convert a .csv file that contains spatial coordinate information into a spatial object in R. We will then export the spatial object as a Shapefile for efficient import into R and other GUI GIS applications including QGIS and ArcGIS

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