plot_blur_ratio
plots time and frequency blur ratio in sounds referenced in an extended selection table.
Usage
plot_blur_ratio(
X,
type = c("envelope", "spectrum"),
cores = getOption("mc.cores", 1),
pb = getOption("pb", TRUE),
env.smooth = getOption("env.smooth", 200),
spec.smooth = getOption("spec.smooth", 5),
res = 150,
flim = c("-1", "+1"),
hop.size = getOption("hop.size", 11.6),
wl = getOption("wl", NULL),
ovlp = getOption("ovlp", 70),
palette = viridis::viridis,
collevels = seq(-120, 0, 5),
dest.path = getOption("dest.path", "."),
path = getOption("sound.files.path", "."),
colors = viridis::viridis(3),
n.samples = 100
)
Arguments
- X
The output of
set_reference_sounds
which is an object of class 'data.frame', 'selection_table' or 'extended_selection_table' (the last 2 classes are created by the functionselection_table
from the warbleR package) with the reference to the test sounds . Must contain the following columns: 1) "sound.files": name of the .wav files, 2) "selec": unique selection identifier (within a sound file), 3) "start": start time and 4) "end": end time of selections, 5) "bottom.freq": low frequency for bandpass, 6) "top.freq": high frequency for bandpass, 7) "sound.id": ID of sounds used to identify counterparts across distances and 8) "reference": identity of sounds to be used as reference for each test sound (row). Seeset_reference_sounds
for more details on the structure of 'X'.- type
Character vector of length 1 indicating the type of blur ratio to plot. The two options are 'envelope' (for regular blur ratio as in
blur_ratio
, default) and 'spectrum' (for spectrum blur ratio as inspectrum_blur_ratio
).- cores
Numeric vector of length 1. Controls whether parallel computing is applied by specifying the number of cores to be used. Default is 1 (i.e. no parallel computing). Can be set globally for the current R session via the "mc.cores" option (see
options
).- pb
Logical argument to control if progress bar is shown. Default is
TRUE
. Can be set globally for the current R session via the "pb" option (seeoptions
).- env.smooth
Numeric vector of length 1 determining the length of the sliding window (in amplitude samples) used for a sum smooth for amplitude envelope calculation (used internally by
env
). Default is 200.- spec.smooth
Numeric vector of length 1 determining the length of the sliding window used for a sum smooth for power spectrum calculation (in kHz). Default is 5. Can be set globally for the current R session via the "spec.smooth" option (see
options
).- res
Numeric argument of length 1. Controls image resolution. Default is 150 (faster) although 300 - 400 is recommended for publication/presentation quality.
- flim
A numeric vector of length 2 indicating the highest and lowest frequency limits (kHz) of the spectrograms, as in
spectro
. Default isNULL
. Alternatively, a character vector similar toc("-1", "1")
in which the first number is the value to be added to the minimum bottom frequency in 'X' and the second the value to be added to the maximum top frequency in 'X'. This is computed independently for each sound id so the frequency limit better fits the frequency range of the annotated signals. This is useful when test sounds show marked differences in their frequency ranges.- hop.size
A numeric vector of length 1 specifying the time window duration (in ms). Default is 11.6 ms, which is equivalent to 512 wl for a 44.1 kHz sampling rate. Ignored if 'wl' is supplied. Can be set globally for the current R session via the "hop.size" option (see
options
).- wl
a vector with a single even integer number specifying the window length of the spectrogram, default is
NULL
. If supplied, 'hop.size' is ignored. Odd integers will be rounded up to the nearest even number. Can be set globally for the current R session via the "wl" option (seeoptions
).- ovlp
Numeric vector of length 1 specifying the percentage of overlap between two consecutive windows, as in
spectro
. Only used when plotting. Default is 70. Applied to both spectra and spectrograms on image files. Can be set globally for the current R session via the "ovlp" option (seeoptions
).- palette
A color palette function to be used to assign colors in the plot, as in
spectro
. Default isviridis
.- collevels
Numeric vector indicating a set of levels which are used to partition the amplitude range of the spectrogram (in dB) as in
spectro
. Default isseq(-120, 0, 5)
.- dest.path
Character string containing the directory path where the image files will be saved. If not supplied the current working directory will be used instead. Can be set globally for the current R session via the "dest.path" option (see
options
).- path
Character string containing the directory path where the sound files are found. Only needed when 'X' is not an extended selection table. If not supplied the current working directory is used. Can be set globally for the current R session via the "sound.files.path" option (see
options
).- colors
Character vector of length 4 containing the colors to be used for the color to identify the reference sound (element 1), the color to identify the test sound (element 2) and the color of blurred region (element 3).
- n.samples
Numeric vector of length 1 specifying the number of amplitude samples (or frequency bins if
spectrum = TRUE
) to use for representing power distributions. Default is 100. If null the raw power distribution is used (note that this can result in high RAM memory usage for large data sets).
Value
It returns 1 image file (in 'jpeg' format) for each blur ratio estimation, showing spectrograms of both sounds and the overlaid amplitude envelopes (or power spectra if spectrum = TRUE
) as probability mass functions (PMF). Spectrograms are shown within the frequency range of the reference sound. It also returns the file path of the images invisibly.
Details
The function generates image files (in 'jpeg' format) for each possible blur ratio estimation in 'X'. The image files show the spectrograms of both sounds and the overlaid power distribution (either amplitude envelopes or power spectrum, see argument 'type') as probability mass functions (PMF). The output graphs highlight the mismatch between the compared distribution which represent the estimated blur ratio returned by either blur_ratio
or spectrum_blur_ratio
. Spectrograms are shown within the frequency range of the reference sound and also show dotted lines with the time (type = "envelope") or frequency range (type = "spectrum") in which energy distributions where computed.
References
Dabelsteen, T., Larsen, O. N., & Pedersen, S. B. (1993). Habitat-induced degradation of sound signals: Quantifying the effects of communication sounds and bird location on blur ratio, excess attenuation, and signal-to-noise ratio in blackbird song. The Journal of the Acoustical Society of America, 93(4), 2206.Araya-Salas M., E. Grabarczyk, M. Quiroz-Oliva, A. Garcia-Rodriguez, A. Rico-Guevara. (2023), baRulho: an R package to quantify degradation in animal acoustic signals .bioRxiv 2023.11.22.568305.
See also
envelope_correlation
, spectrum_blur_ratio
, blur_ratio
Other quantify degradation:
blur_ratio()
,
detection_distance()
,
envelope_correlation()
,
plot_degradation()
,
set_reference_sounds()
,
signal_to_noise_ratio()
,
spcc()
,
spectrum_blur_ratio()
,
spectrum_correlation()
,
tail_to_signal_ratio()
Author
Marcelo Araya-Salas (marcelo.araya@ucr.ac.cr)
Examples
{
# load example data
data("test_sounds_est")
# add reference to X
X <- set_reference_sounds(X = test_sounds_est)
# create plots
plot_blur_ratio(X = X, dest.path = tempdir())
}
#> The image files have been saved in the directory path '/tmp/RtmpMaDNAh'