Learn R Programming

seewave (version 2.1.8)

audiomoth: Reading and interpreting Audiomoth file name

Description

This function reads and decomposes the files names generated by an Audiomoth device, audio digal recorders produced by the society Open Acoustic Devices.

Usage

audiomoth(x, tz = "")

Arguments

x

a character vector with .wav file names.

tz

a character vector defining a time zone specification. See as.POSIXct

Value

The function returns a data.frame with the following columns:

year

year of recording, numeric

month

month of recording, numeric

day

day of recording, numeric

hour

hour of recording, numeric

min

minute of recording, numeric

sec

second of recording, numeric

time

time in POSIX format

Details

The digital recorder Audiomoth produced by Open Acoustic Devices (https://www.openacousticdevices.info/) generates .wav files which names contains information about the time of recording. The information is encoded in hexadecimal (e.g. "5E9089F0"). The function audiomoth decodes this information so that time of recording can be retrieved in numeric or time format.

References

See Open Acoustic Devices website for details regarding the Audiomoth: https://www.openacousticdevices.info/.

See Also

audiomoth.rename, as.POSIXct, OlsonNames, songmeter

Examples

Run this code
# NOT RUN {
## recording done on Friday 10 April 2020 16:54:44 UTC
## computer time zone (local time, Europe, Paris for the test)
audiomoth("5E90A4D4.WAV")
## UTC
audiomoth("5E90A4D4.WAV", tz="UTC")
## GMT (= UTC as UTC and GMT are synonyms)    
audiomoth("5E90A4D4.WAV", tz="GMT")
## UTC -2
audiomoth("5E90A4D4.WAV", tz="Etc/GMT-2")
## in Asia, Japan
audiomoth("5E90A4D4.WAV", tz="Japan")
## in South-America, Cayenne
audiomoth("5E90A4D4.WAV", tz="America/Cayenne")  
## several files
filenames <- c("5E914ED0.WAV", "5E915128.WAV",
"5E915380.WAV", "5E9155D8.WAV", "5E915830.WAV",
"5E915A88.WAV", "5E915CE0.WAV", "5E915F38.WAV",
"5E916190.WAV", "5E9163E8.WAV")
audiomoth(filenames)
# }

Run the code above in your browser using DataLab