Grid a section, by interpolating to fixed pressure levels. The
"approx"
, "boxcar"
and "lm"
methods are described in the
documentation for ctdDecimate
, which is used to do this
processing. The default "approx"
method is best for bottle data, the
"boxcar"
is best for ctd data, and the "lm"
method is probably
too slow to recommend for exploratory work, in which it is common to do trials
with a variety of "p"
values.
sectionGrid(section, p, method = "approx",
debug = getOption("oceDebug"), ...)
A section
object containing the section to be gridded.
Optional indication of the pressure levels to which interpolation
should be done. If this is not supplied, the pressure levels will be
calculated based on the typical spacing in the ctd profiles stored within
section
. If p="levitus"
, then pressures will be set to be those
of the Levitus atlas, given by standardDepths
, trimmed to the
maximum pressure in section
. If p
is a single numerical value,
it is taken as the number of subdivisions to use in a call to seq
that has range from 0 to the maximum pressure in section
. Finally, if a
vector numerical values is provided, then it is used as is.
The method to use to decimate data within the stations; see
ctdDecimate
, which is used for the decimation.
an integer specifying whether debugging information is
to be printed during the processing. This is a general parameter that
is used by many oce
functions. Generally, setting debug=0
turns off the printing, while higher values suggest that more information
be printed. If one function calls another, it usually reduces the value of
debug
first, so that a user can often obtain deeper debugging
by specifying higher debug
values.
Optional arguments to be supplied to ctdDecimate
,
e.g. rule
controls extrapolation beyond the observed pressure range,
in the case where method
equals "approx"
.
An object of section-class
that contains stations whose
pressure values match identically.
Data-quality flags contained within the original object are ignored by this
function, and the returned value contains no such flags. This is because such
flags represent an assessment of the original data, not of quantities derived
from those data. This function produces a warning to this effect. The
recommended practice is to use handleFlags
or some other means to
deal with flags before calling the present function.
Other things related to section
data: [[,section-method
,
[[<-,section-method
,
as.section
,
handleFlags,section-method
,
initializeFlagScheme,section-method
,
plot,section-method
,
read.section
, section-class
,
sectionAddStation
,
sectionSmooth
, sectionSort
,
section
,
subset,section-method
,
summary,section-method
# NOT RUN {
# Gulf Stream
library(oce)
data(section)
GS <- subset(section, 109<=stationId&stationId<=129)
GSg <- sectionGrid(GS, p=seq(0, 5000, 100))
plot(GSg, map.xlim=c(-80,-60))
# }
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