Explore NEON Workshop

Required Prior Knowledge

All participants are expected to have some coding experience. All coding instruction will be conducted in R. Participants using other programming languages are welcome to attend, however, instruction and assistance in the language may not be available.

Workshop Schedule

Location: NEON Headquarters, Boulder, CO

Schedule subject to change.

Day 1: Thursday 8 November

Day 2: Friday 9 November

Workshop Instructors

• Claire Lunch; @dr_lunch, Research Scientist, Data Science; NEON program, Battelle
• Megan A. Jones; @meganahjones, Research Scientist, Science Education; NEON program, Battelle

Please get in touch with the instructors prior to the workshop with any questions.

Additional NEON scientists will be active in the Explore NEON Workshop.

Twitter?

Please tweet using the hashtag #NEONData & @NEON_Sci during this workshop!

Workshop & Travel Logistics

Only selected applicants are allowed to attend this workshop. All travel & hotel arrangements will be made through Battelle/NEON – please do not make any of your own travel arrangements (other than getting to/from your local airport). For more on workshop logistics and getting around Boulder, please see the Workshop Logistics page.

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.

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Install R Packages

Please have these packages installed and updated prior to the start of the workshop.

• devtools: install.packages("devtools"); required to install using the install_github() function.
• neonUtilities: install_github("NEONScience/NEON-utilities/neonUtilities", dependencies=TRUE). You must have devtools installed and running ( library(devtools)) prior to installing with install_github(). For further directions, see the start of the Use the neonUtilities Package to Access NEON Data tutorial.
• geoNEON: install_github("NEONScience/NEON-geolocation/geoNEON”); to get specific location data for NEON data and samples.
• raster: install.packages("raster"); to work with raster files in R.
• rhdf5: source("https://bioconductor.org/biocLite.R"), biocLite("rhdf5"); to work with HDF5 files in R

If you want to install all of them, you can use the following code.

 install.packages("raster")
 install.package("neonUtilities")
 install.packages("devtools")


 source("http://bioconductor.org/biocLite.R")
 biocLite("rhdf5")
 library(devtools)
 install_github("NEONScience/NEON-geolocation/geoNEON")