Package: REddyProc
Type: Package
Version: 1.2.2
Title: Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Authors@R: c( person( "Department for Biogeochemical Integration at MPI-BGC, Jena, Germany", role=c("cph"), email="REddyProc-help@bgc-jena.mpg.de" )
              ,person( "Thomas", "Wutzler", role=c("aut","cre"), email="twutz@bgc-jena.mpg.de" )
              ,person( "Markus", "Reichstein", role=c("aut"), email="mreichstein@bgc-jena.mpg.de")
              ,person( c("Antje","Maria"), "Moffat", role=c("aut","trl"), email="antje.moffat@bgc.mpg.de" )
              ,person( "Olaf", "Menzer", role=c("ctb"), email="omenzer@bgc-jena.mpg.de" )
              ,person( "Mirco", "Migliavacca", role=c("aut"), email="mmiglia@bgc-jena.mpg.de" )
              ,person( "Kerstin", "Sickel", role=c("ctb","trl"), email="ksickel@bgc-jena.mpg.de" )
              ,person( "Ladislav", "Šigut", role=c("ctb"), email="sigut.l@czechglobe.cz" )
              )
Description: Standard and extensible Eddy-Covariance data post-processing 
  (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>)
  includes  
  uStar-filtering, gap-filling, and flux-partitioning.
  The Eddy-Covariance (EC)  micrometeorological technique quantifies continuous 
  exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere.
  It is important for understanding ecosystem dynamics and upscaling exchange fluxes.
  (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>).
  This package inputs pre-processed (half-)hourly data and supports further processing. 
  First, a quality-check and filtering is performed based on the relationship between 
  measured flux and friction
  velocity (uStar) to discard biased data 
  (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>).
  Second, gaps in the data are filled based on information from environmental conditions
  (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>).
  Third, the net flux of carbon dioxide is partitioned
  into its gross fluxes in and out of the ecosystem by night-time 
  based and day-time based approaches
  (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).
URL: https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWeb,
        https://github.com/bgctw/REddyProc
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
LinkingTo: Rcpp
Depends: R (>= 3.0.0), methods
Imports: dplyr, purrr, rlang, mlegp, tibble, magrittr, solartime
Suggests: testthat, minpack.lm, segmented, knitr, rmarkdown, lognorm,
        ggplot2, tidyr, bigleaf (>= 0.7)
Collate: 'CheckVal.R' 'DataFunctions.R' 'aEddy.R' 'EddyGapfilling.R'
        'EddyPartitioning.R' 'EddyPlotting.R'
        'EddyUStarFilterChangePointDetection.R' 'EddyUStarFilterDP.R'
        'Example.R' 'FileHandling.R' 'FileHandlingFormats.R'
        'GeoFunctions.R' 'LRC_base.R' 'LRC_logisticSigmoid.R'
        'LRC_nonrectangular.R' 'LRC_rectangular.R'
        'PartitioningLasslop10.R' 'PartitioningLasslop10Nighttime.R'
        'RcppExports.R' 'imports.R' 'logitnorm.R' 'variableNames.R'
        'zzzDebugCode.R'
NeedsCompilation: yes
Packaged: 2020-03-17 16:48:35 UTC; twutz
Author: Department for Biogeochemical Integration at MPI-BGC, Jena, Germany
    [cph],
  Thomas Wutzler [aut, cre],
  Markus Reichstein [aut],
  Antje Maria Moffat [aut, trl],
  Olaf Menzer [ctb],
  Mirco Migliavacca [aut],
  Kerstin Sickel [ctb, trl],
  Ladislav Šigut [ctb]
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>
Repository: CRAN
Date/Publication: 2020-03-18 07:00:18 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-16 16:52:55 UTC; unix
Archs: REddyProc.so.dSYM
