stefanmet/eddy4r repository overview

The eddy-covariance flux processor eddy4R consists of modular software packages in the R-language for statistical computing⁠. The namesake eddy4R Docker image⁠ is based on on the rocker/ropensci image⁠, and currently adds two eddy4R packages and their dependencies as builds from a Dockerfile. Build additions on the operating system side:

• EBImage dependencies
  • fftw3
  • fftw3-dev
  • libjpeg-dev
  • libtiff-dev
• REddyProc dependencies
  • libudunits2-0
  • libudunits2-dev
  • libnetcdf-dev
  • udunits-bin

Build additions on the R-side via the eddy4R installation script⁠:

• eddy4R.base
• eddy4R.qaqc

For additional information please see Sect. 2.6 "Installation and operation" in eddy4R: A community-extensible processing, analysis and modeling framework for eddy-covariance data based on R, Git, Docker and HDF5⁠.