View source: R/task_spectral_indic.R
raw_sdr | R Documentation |
Compute the ratio of low frequencies over high frequencies of the r-spectrum.
raw_sdr(mat, sdr_low_range = NULL, sdr_high_range = NULL)
mat |
A matrix with continuous values, or a logical matrix
( |
sdr_low_range |
The range of values (in proportion) to
use for the computation of the spectral density ratio.
For example, for the lowest 20% (default value), set |
sdr_high_range |
The range of values (in proportion) to
use for the computation of the spectral density ratio. For example, for
the highest 20% (default value), set |
SDR measures the increase in long-range correlations before a critical point.
It is the ratio of the average low frequency value over high frequency
values. In this implementation, an increase in SDR implies a "reddening"
of the r-spectrum. See also spectral_sews
for
a more complete description.
Low and high frequencies are averaged in order to compute the SDR. The
parameters sdr_low_range
and sdr_high_range
control which
frequencies are selected for averaging. For example
sdr_low_range = c(0, .2)
(default) uses the lower 20
the average of low frequencies. sdr_high_range = c(.8, 1)
uses the
higher 20
The SDR values computed on the matrix as a named vector
Carpenter, S.R. & Brock, W.A. (2010). Early warnings of regime shifts in spatial dynamics using the discrete Fourier transform. Ecosphere
indictest
,
rspectrum
, plot_spectrum
,
spectral_sews
, extract_spectrum
data(serengeti)
serengeti.sdr <- raw_sdr(serengeti[[1]],
sdr_low_range = c(0, 0.2),
sdr_high_range = c(0.8, 1))
compute_indicator(serengeti, raw_sdr)
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