Event - Workshop

NEON Flux Data - AmeriFlux Early Career Workshop

Sep 17, 2019

Hosted By:

Ameriflux

NEON provides open ecological data from 81 sites across the United States, covering a wide range of subject areas, including organismal observations, biogeochemistry, and remote sensing. Surface-atmosphere exchange data are collected at all 47 terrestrial NEON sites, enabling analysis and synthesis both within and across sites.

This workshop will provide an introduction to data access via the Data Portal and the API, and to working with NEON flux data using the neonUtilities R package.

Workshop Schedule

For location and updates, please refer to the Early Career Workshop Agenda.

Time	Topic
Noon	Workshop Opening (box lunch provided)
12:10	Introduction and Overview of Tutorials
12:40	B R E A K
12:55	Data Tutorials for Breakout Groups (concurrent sessions)
	Surface-Atmosphere exchange (NEON) – Chris Florian, Claire Lunch, David Durden
	PhenoCam data analysis – Bijan Seyednasrollah, Andrew Richardson, Adam Young
	EC Flux processing including methane (GitHub) – Gavin McNicol
	Google Earth Engine create-your-own site description – Gabriela Shirkey
1:30p	Data Group Project in sub-groups
3:00	Presentation of Group Work and Closing Remarks
3:30	Leave for NEON HQ
4:00	Visit at NEON
	NEON Calibration/Validation Lab
	NEON Airborne Observation Platform Lab (data demo and calibration lab)
	Tower & Mobile Deployment Platform (test towers behind building)
5:30p	Social Event @ local brewery near NEON HQ – no host

Before the Workshop

To participant in this NEON Flux data portion of this workshop, you will need a laptop with the most current version of R, and preferably RStudio, loaded on your computer. Prior experience coding in R is ideal but not required.

Install R Packages

Once R is installed, use the following code to install the packages we will be using in the workshop:

install.packages('BiocManager')
BiocManager::install('rhdf5')
install.packages('neonUtilities')

If you have trouble with any of the installations, please contact Claire Lunch.

Setting Up R & RStudio

Windows R/RStudio Setup

Download R for Windows here
Run the .exe file that was just downloaded
Go to the RStudio Download page
Under Installers select RStudio X.XX.XXX - Windows Vista/7/8/10
Double click the file to install it

Once R and RStudio are installed, click to open RStudio. If you don't get any error messages you are set. If there is an error message, you will need to re-install the program.

Mac R/RStudio Setup

Go to CRAN and click on Download R for (Mac) OS X
Select the .pkg file for the version of OS X that you have and the file will download.
Double click on the file that was downloaded and R will install
Go to the RStudio Download page
Under Installers select RStudio 0.98.1103 - Mac OS X XX.X (64-bit) to download it.
Once it's downloaded, double click the file to install it

Once R and RStudio are installed, click to open RStudio. If you don't get any error messages you are set. If there is an error message, you will need to re-install the program.

Linux R/RStudio Setup

R is available through most Linux package managers. You can download the binary files for your distribution from CRAN. Or you can use your package manager (e.g. for Debian/Ubuntu run sudo apt-get install r-base and for Fedora run sudo yum install R).
To install RStudio, go to the RStudio Download page
Under Installers select the version for your distribution.
Once it's downloaded, double click the file to install it

Once R and RStudio are installed, click to open RStudio. If you don't get any error messages you are set. If there is an error message, you will need to re-install the program.

Location:

TBD