Coerces a dataset into a echosounder dataset.
as.echosounder(
time,
depth,
a,
src = "",
sourceLevel = 220,
receiverSensitivity = -55.4,
transmitPower = 0,
pulseDuration = 400,
beamwidthX = 6.5,
beamwidthY = 6.5,
frequency = 41800,
correction = 0
)An echosounder object.
times of pings.
depths of samples within pings.
matrix of echo amplitudes, as would be stored with
read.echosounder().
optional string indicating data source.
source level, in dB (uPa at 1m), denoted sl in
reference 1 p15, where it is in units 0.1dB (uPa at 1m).
receiver sensitivity of the main element, in
dB(counts/uPa), denoted rs in reference 1 p15, where it is in units of
0.1dB(counts/uPa)
transmit power reduction factor, in dB, denoted
tpow in reference 1 p10, where it is in units 0.1 dB.
duration of transmitted pulse in us
x-axis -3dB one-way beamwidth in deg, denoted bwx
in reference 1 p16, where the unit is 0.2 deg
y-axis -3dB one-way beamwidth in deg, denoted bwx
in reference 1 p16, where the unit is 0.2 deg
transducer frequency in Hz, denoted fq in reference 1 p16
user-defined calibration correction in dB, denoted
corr in reference 1 p14, where the unit is 0.01dB.
Dan Kelley
Creates an echosounder file. The defaults for e.g. transmitPower
are taken from the echosounder dataset, and they are unlikely to make
sense generally. The first three parameters must be supplied, and the
dimension of a must align with the lengths of time and depths. The
other parameters have defaults that are unlikely to be correct for
arbitrary application, but they are not essential for basic plots,
etc.
Those who use the readHAC package to read echosounder
data should note that it stores the a matrix in a flipped and
transposed format. See that package's demo code for a function
named flip() that transforms the matrix as required by
as.echosounder(). Indeed, users working with HAC
data ought to study the whole of the readHAC
documentation, to learn what data are stored, so that
oceSetMetadata() and oceSetData() can be used as needed
to flesh out the contents returned by as.echosounder().
Other things related to echosounder data:
[[,echosounder-method,
[[<-,echosounder-method,
echosounder,
echosounder-class,
findBottom(),
plot,echosounder-method,
read.echosounder(),
subset,echosounder-method,
summary,echosounder-method