Event - Workshop
Workshop: Using NEON鈥檚 eddy4R eddy-covariance software and data products
Dec 12, 2017
Hosted By:
National Ecological Observatory Network & the American Geophysical Union
eddy4R-Docker demo/workshop details
This workshop will take place at the Garden Hilton Inn near the AGU 2017 meeting from 7pm - 10pm on Dec 12, 2017. NEON has begun to add to the family of eddy-covariance software a set of open-source 鈥渆ddy4R鈥� packages in the R language for statistical computing. eddy4R intends to provide raw-data processing capabilities that complement existing high-level functionalities of e.g. the 鈥淩EddyProc鈥� R-package. Together they are wrapped into a reproducible, shareable and extensible eddy-covariance processing environment based on containerization technology.
In short: on the basis of pre-provided templates an eddy-4R Docker user can easily construct end-to-end workflows from raw data to hypothesis testing in single processing environment. In case this sounds interesting, you can find more information here:
For accessing, installing and operating the processing environment please see section 2.6 鈥淚nstallation and operation鈥� (page 8) and the 鈥淐ode and data availability鈥� section (page 16). Please be aware that out of six eddy4R packages in development this release includes only the first two packages (basic statistical and QA/QC functionalities). More information on the complete range of capabilities can be found in section 2.1 鈥淭he eddy4R family of R packages鈥� (page 4).
For comments, questions, or in case you are interested in contributing to eddy4R-Docker, please feel free to write us at [email protected].
This workshop further explores the in the R language for eddy-covariance statistical computing. eddy4R intends to provide raw-data processing capabilities that complement existing high-level functionalities of, for example, the 鈥淩EddyProc鈥� R package. Together they are wrapped into a reproducible, shareable and extensible eddy-covariance processing environment based on Docker containerization technology.
Workshop motivation and purpose
- To bring together eddy-covariance (EC) software and data product developers, users and technical working group members both internal and external to the National Ecological Observatory Network (NEON).
- To provide a tutorial for (prospective) eddy4R users on how to interact with NEON EC data and software.
- To provide community-feedback from (prospective) eddy4R users to eddy4R developers for incorporation into data-generating NEON code.
Registration
Before attending the workshop, please read about the eddy4R package:
The eddy4R-Docker demo/workshop during AGU in New Orleans is full. Registration is closed at this time.
Schedule
Location: Gardenia Room, Hilton Garden Inn
Date: 19:00-22:00 CST 2017-12-12
| Time | Topic |
|---|---|
| 18:30 | Help desk and room set up |
| 19:00 | Welcome & Introductions |
| 19:15 | Overview of eddy4R community software model |
| 19:30 | Lightning talks: community use and applications of interest |
| 20:15 | Break |
| 20:30 | Breakout Groups |
| Tutorial: Interactive (basic) eddy4R | |
| Discussion/brainstorming: Scaled, reproducible application of eddy4R | |
| Discussion/demo: Advanced processing capabilities of eddy4R | |
| 21:15 | Breakout summary, next steps, and debrief |
Instructors
- Stefan Metzger - National Ecological Observatory Network
- Ankur Desai - University of Wisconsin-Madison
- David Durden - National Ecological Observatory Network
- Natchaya Pingintha-Durden - National Ecological Observatory Network
- Cove Sturtevant- National Ecological Observatory Network
- Ke Xu - University of Wisconsin-Madison
If you have questions about the workshop materials, please contact one of the instructors.
Location:
Garden Hilton Inn
Gardenia Room
New Orleans, LA
United States