GPPFourierPreprocess: Pre-process O2 data for GPP calculation
In GPPFourier: Calculate Gross Primary Production (GPP) from O2 Time Series

Description Usage Arguments Details Value Author(s) References See Also

Removes longer term trend of time series and confine series to integer number of days

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GPPFourierPreprocess(x, dt = NULL, units = c("days", "hours", "mins"),
  Detrend = TRUE, filter = TRUE, Nfilt = NULL, circular = FALSE,
  sides = 2)

`x`	A vector containing consecutive O2 concentrations, sampled at regular intervals (time step = dt).
`dt`	Sampling time step. Class difftime, or `numeric` when units are provided.
`units`	Units of sampling time step
`Detrend`	Toggle time series detrending
`filter`	Toggle time series filtering
`Nfilt`	Moving average filter width (see documentation of `filter()`)
`circular`	Moving average boundary condition (see documentation of `filter()`)
`sides`	Moving average central or one sided (see documentation of `filter()`)

GPPFourierPreprocess() is called by GPPFourier() to pre-process the time series before calculating the Fourier amplitude at diel frequency and estimate GPP.

A list with components

`filt`	The long term trend
`res`	The original series without the long term trend, confined to an integer number of days
`indices`	The indices of the subset of the series that are retained, after filtering and confining to an integer number of days.

Tom Cox <tom.cox@uantwerp.be>

Cox T.J.S. et al. (2015) 'Estimating primary production from oxygen time series: a novel approach in the frequency domain', Limnology And Oceanography:Methods 13, 529-552. DOI: 10.1002/lom3.10046

GPPFourier, GPPFourier_t, WindowGPPFourier, WindowGPPFourier.gts

GPPFourier documentation built on Sept. 22, 2017, 5:06 p.m.