checkSoundscapeInput {PAMscapes}

Check Proper Formatting for Soundscape Inputs

Description

Reads and checks data to ensure formatting will work for other PAMscapes functions. Will read and check the formatting of CSV files, or check the formatting of dataframes. Can also read in MANTA NetCDF files and format the data appropriately.

Usage

checkSoundscapeInput(x, needCols = c("UTC"))

Arguments

x

a dataframe, path to a CSV file, or path to a MANTA NetCDF file

needCols

names of columns that must be present in x, if any are missing will trigger an error

Details

Files created by MANTA and Triton software will be reformatted to have consisitent formatting. The first column will be renamed to "UTC", and columns containing soundscape metrics will be named using the convention "TYPE_FREQUENCY", e.g. "HMD_1", "HMD_2" for Manta hybrid millidecade mesaurements.

Inputs from sources other than MANTA or Triton can be accepted in either "wide" or "long" format. Wide format must follow the conventions above - first column "UTC", other columns named by "TYPE_FREQUENCY" where TYPE is consistent across all columns and FREQUENCY is in Hertz. Long format data must have the following columns:

• "UTC" - time of the measurement, in UTC timezone

• "type" - the type of soundscape measurement e.g. PSD or OL, must be the same for all

• "frequency" - the frequency of the measurement, in Hertz

• "value" - the soundscape measurement value, usually dB

Value

a dataframe

Author(s)

Taiki Sakai [e-mail]

Examples

manta <- checkSoundscapeInput(system.file('extdata/MANTAExampleSmall1.csv', package='PAMscapes'))
str(manta)
ol <- checkSoundscapeInput(system.file('extdata/OLSmall.csv', package='PAMscapes'))
str(ol)
psd <- checkSoundscapeInput(system.file('extdata/PSDSmall.csv', package='PAMscapes'))
str(psd)