Creates a plot for a sea-level dataset, in one of two varieties. Depending
on the length of which
, either a single-panel or multi-panel plot is
drawn. If there is just one panel, then the value of par
used in
plot,sealevel-method
is retained upon exit, making it convenient to add to
the plot. For multi-panel plots, par
is returned to the value it had
before the call.
# S4 method for sealevel
plot(x, which = 1:3, adorn = NULL,
drawTimeRange = getOption("oceDrawTimeRange"), mgp = getOption("oceMgp"),
mar = c(mgp[1] + 0.5, mgp[1] + 1.5, mgp[2] + 1, mgp[2] + 3/4),
marginsAsImage = FALSE, debug = getOption("oceDebug"), ...)
an object of class "sealevel"
, e.g. as read by
read.sealevel
.
a numerical or string vector indicating desired plot types,
with possibilities 1 or "all"
for a time-series of all the data, 2 or
"month"
for a time-series of just the first month, 3 or
"spectrum"
for a power spectrum (truncated to frequencies below 0.1
cycles per hour, or 4 or "cumulativespectrum"
for a cumulative
integral of the power spectrum.
(Defunct)
An expression
or vector of expressions that contain
R code that is to be executed immediately after each panel of the plot.
If the number of expressions matches the number of panels, then the
expressions are used for the corresponding panels; otherwise, the
expression list is extended to match the number of panels (i.e.
to obtain length(which)
elements). Note that adorn
is a dangerous argument, because if the expressions contained
therein set up local storage, there is a chance of entirely
disrupting the plotting. For this reason, adorn
was
marked as defunct in June 2016, and will be removed entirely
after the July CRAN release. Users with existing code that uses
adorn
should simply plot the panels individually, and
use conventional R functions, e.g. lines
etc.,
after each panel, to achieve the desired effect. (See
oce-defunct
for notes on other deprecated or
defunct oce
features.)
boolean that applies to panels with time as the horizontal axis, indicating whether to draw the time range in the top-left margin of the plot.
3-element numerical vector to use for par(mgp)
, and also
for par(mar)
, computed from this. The default is tighter than the R
default, in order to use more space for the data and less for the axes.
value to be used with par("mar")
.
boolean, TRUE
to put a wide margin to the right
of time-series plots, matching the space used up by a palette in an
imagep
plot.
a flag that turns on debugging, if it exceeds 0.
optional arguments passed to plotting functions.
None.
The example refers to Hurricane Juan, which caused a great deal of damage to Halifax in 2003. Since this was in the era of the digital photo, a casual web search will uncover some spectacular images of damage, from both wind and storm surge. A map of the path of Hurricane Juan across Nova Scotia is at http://ec.gc.ca/ouragans-hurricanes/default.asp?lang=En&n=222F51F7-1. Landfall, very near the site of this sealevel gauge, was between 00:10 and 00:20 Halifax local time on Monday, Sept 29, 2003.
The documentation for sealevel-class
explains the
structure of sealevel objects, and also outlines the other functions dealing
with them.
Other functions that plot oce
data: plot,adp-method
,
plot,adv-method
,
plot,amsr-method
,
plot,argo-method
,
plot,bremen-method
,
plot,cm-method
,
plot,coastline-method
,
plot,ctd-method
,
plot,gps-method
,
plot,ladp-method
,
plot,lisst-method
,
plot,lobo-method
,
plot,met-method
,
plot,odf-method
,
plot,rsk-method
,
plot,satellite-method
,
plot,section-method
,
plot,tidem-method
,
plot,topo-method
,
plot,windrose-method
,
plotProfile
, plotScan
,
plotTS
, tidem-class
Other things related to sealevel
data: [[,sealevel-method
,
[[<-,sealevel-method
,
as.sealevel
, read.sealevel
,
sealevel-class
,
sealevelTuktoyaktuk
,
sealevel
,
subset,sealevel-method
,
summary,sealevel-method
# NOT RUN {
library(oce)
data(sealevel)
## local Halifax time is UTC + 4h; see [2] on timing
juan <- as.POSIXct("2003-09-29 00:15:00", tz="UTC")+4*3600
plot(sealevel, which=1, xlim=juan+86400*c(-7, 7))
abline(v=juan, col='red')
# }
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