NEON provides open ecological data from over 80 locations across the United States. NEON data cover a wide range of subject areas of interest to AGU members, including micrometeorology, biogeochemistry, organismal observations, and both lidar and hyperspectral remote sensing. Some datasets already span several years of data collection. This workshop will provide an introduction to the basics of data access and data navigation: discovering and accessing data via the NEON data portal, accessing data via the neonUtilities R package, understanding the content and quality of the data downloaded, and performing common data merges and transformations. Basic familiarity with R is recommended for participation in the workshop.
The workshop is limited to 40 participants – make sure to secure your spot by signing up by Dec 2, 2019! If spaces are available, registration may be extended beyond this date.
This workshop is not affiliated with the AGU Annual Meeting and participants in this workshop do not have to be registered for the AGU meeting.
Workshop Learning Objectives
The participants of the workshop will learn about the available datasets and tools to study ecological processes using NEON data. By the end of the workshop, participants will understand how they can use the suite of NEON data products to address their research questions. After attending the workshop, the attendees will be able to:
- Find, access, and interpret NEON data.
- Find additional resources to learn to work with the NEON data of their choice.
Location: San Francisco, CA. Additional details will be provided to registered participants.
Date: Wednesday December 11th from 11:00 AM–12:30 PM PT (local time)
|11:00||Navigating the NEON website and data portal|
|11:30||Downloading and wrangling NEON data|
|12:20||Post-workshop suggested resources, questions, and wrap up|
Workshop Instructors & Helpers
- Claire Lunch; @dr_lunch, Research Scientist, Data Science; NEON program, Battelle
- Donal O'Leary; Data Science Educator; NEON program, Battelle
If you have questions about the workshop materials, please contact one of the instructors.
Please tweet using #NEONData & @NEON_Sci during this workshop!
Before the Workshop
To participant in this workshop, you will need a laptop with the most current version of R, and preferably RStudio, loaded on your computer.
Prior to the workshop you should have R and, preferably, RStudio installed on your computer.
Install R Packages
Please have these packages installed and updated prior to the start of the workshop. The last two are optional if you want to do the Compare Canopy Height exercise or the NEON API tutorial.
install.packages("neonUtilities"); neonUtiltities only works with R version 3.4 or higher. For further directions, see the start of the Use the neonUtilities Package to Access NEON Data tutorial.
install.packages("raster"); to work with raster files in R.
install.packages("devtools"); required to install using the
install_github("NEONScience/NEON-geolocation/geoNEON”); to get specific location data for NEON data and samples. Optional for workshop.
If you want to install all of them, you can use the following code.
install.packages("neonUtilities") install.packages("raster") #optional, if wanting to do Compare Canopy Height exercise or NEON API tutorial install.packages("devtools") library(devtools) install_github("NEONScience/NEON-geolocation/geoNEON")
Update R Packages
In RStudio, you can go to
Tools --> Check for package updates to update
previously installed packages on your computer.
Or you can use
update.packages() to update all packages that are
installed in R automatically.
Please note that the schedule listed below may change depending upon the pace of the workshop!
|11:00||Accessing NEON Data|
|The NEON Data Portal|
|11:45||Working with NEON Data|
|Download & Explore NEON Data|
|(Optional) Using the NEON Data API in R|
|12:20||Final Questions & Evaluation|