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Last pushed: 10 months ago
Short Description
Eddy-covariance flux processor in the R-language for statistical computing
Full Description

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.

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