oce (version 0.1-82)

plot.sealevel: Plot sealevel data

Description

Plot a summary diagram for sealevel data.

Usage

## S3 method for class 'sealevel':
plot(x, which=1:4, adorn=NULL,
     draw.time.range=getOption("oce.draw.time.range"),
     mgp=getOption("oce.mgp"), 
     mar=c(mgp[1],mgp[1]+1,1,1+par("cex")),
     margins.as.image=FALSE,
     debug=getOption("oce.debug"),
     ...)

Arguments

x

an object of class "sealevel", e.g. as read by read.sealevel.

which

numerical vector indicating desired plot types. The value which=1 gives a time-series of sealevel for the entire data set, which=2 gives sealevel for just the first 28 days, which=3 gives a power spectr

adorn

vector of expressions to be executed for the panels in turn, e.g. to adorn the plots. If the number matches the number of panels, then the strings are applied to the appropriate panels, as they are drawn from top-left to bottom-right. If on

draw.time.range

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.

mgp

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.

mar

value to be used with par("mar").

margins.as.image

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.

debug

a flag that turns on debugging, if it exceeds 0.

...

optional arguments passed to plotting functions.

Value

• None.

Details

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 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, and so adorn must be used to add to individual panels.

References

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. The wikipedia entry http://en.wikipedia.org/wiki/Hurricane_Juan provides a good entry to the topic, with the Canadian Hurricane Centre's http://www.atl.ec.gc.ca/weather/hurricane/juan/summary_e.html filling in some more technical details.

See Also

summary.sealevel summarizes the information, while read.sealevel scans it from a file.

Examples

library(oce)
data(sealevel.hal)
# Overall plot
plot(sealevel.hal)

# Illustrate storm surge during Hurricane Juan
plot(sealevel.hal,which=1,xlim=as.POSIXct(c("2003-09-24","2003-10-05"), tz="UTC"))
abline(v=as.POSIXct("2003-09-29 04:00:00", tz="UTC"), col="red")
mtext("Hurricane
Juan", at=as.POSIXct("2003-09-29 04:00:00", tz="UTC"), col="red")