plot.eof: Plot esd objects

In metno/esd: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data

Plot esd objects

Description

These plot functions are S3 methods for esd objects, based on plot.

Usage

## S3 method for class 'eof'
plot(
  x,
  ...,
  new = FALSE,
  xlim = NULL,
  ylim = NULL,
  ip = 1,
  what = c("pc", "eof", "var"),
  colbar = list(pal = NULL, rev = FALSE, n = 10, alpha = 0.8, breaks = NULL, type = "p",
    cex = 2, show = TRUE, h = 0.6, v = 1, pos = 0.05),
  verbose = FALSE,
  is = NULL,
  it = NULL
)

Arguments

x	the object to be plotted
...	additional arguments
new	if TRUE plot in new window
xlim	range of x-axis
ylim	range of y-axis
ip	Which EOF/CCA pattern (mode) to plot
what	Indicate what to plot. For plot.eof, c('pc', 'eof', 'var') is the default setting which means that the plot will include the principle components, EOF patterns and explained variance. 'field' expands eof to field before plotting
colbar	a list, see colbar
verbose	a boolean; if TRUE print information about progress
is	For subsetting in space - See subset. Can also be a station value and if provided, the plotting will involve an interpolation to the same coordinates as defined by is.
it	For subsetting in time - See subset.
plot.type	"single"
type	type of plot: 'l' = line, 'p' = point, 'b' = both
pch	type of marker
main	main title
xlab	label of x-axis
ylab	label of y-axis
errorbar	if TRUE show errorbar
legend.show	if TRUE show legendp
map.show	show map of stations
map.type	'points' to show stations on map, 'rectangle' to show area
map.insert	if TRUE show map as insert, else show map in new window
cex	magnification factor, see par
cex.axis	see par
cex.lab	see par
cex.main	see par
mar	see par
fig	coordinates of figure region, see par
add	if TRUE add plot to existing figure
alpha	transparency factor for main plot
alpha.map	transparency factor for map
col	Colour see par
lwd	width of line

Value

None

Examples

# Example: use aggregate to compute annual mean temperature for Svalbard:
data(Svalbard)
y <- aggregate(Svalbard, by=year(Svalbard), FUN='mean', na.rm = FALSE)
plot(y, new=FALSE)

# Example with downscaling:
lon <- c(-12,37)
lat <- c(52,72)
t2m <- t2m.DNMI(lon=lon,lat=lat)
data(Oslo)
ds <- DS(Oslo,t2m)

# Plot the results for January month
plot(subset(ds,it='Jan'), new=FALSE)

# Plot the residuals:
residual <- as.residual(ds)
obs <- as.anomaly(as.calibrationdata(ds))

plot.zoo(obs[,1], lwd=2, new=FALSE)
lines(residual, col="red")

print("Global climate model simulation NorESM")
T2m <- t2m.NorESM.M(lon=lon,lat=lat)

# Plot the global mean of the field:
plot(T2m, new=FALSE)
# Plot area mean of a sub region
plot(T2m,is=list(lon=c(0,10),lat=c(60,70)), new=FALSE)

# Plot interpolated results corresponding to ferder
data(ferder)
plot(T2m,ferder, new=FALSE)

# Plot Hovmuller diagram: Not working ...
## plot(T2m,is=list(lon=0))

print("Extract a subset - the January month")
x <- subset(t2m,it="jan")
X <- subset(T2m,it="jan")

print("Combine the fields for computing common EOFs:")
XX <- combine(x,X)

print("Compute common EOFs")
eofxx <- EOF(XX)
plot(eofxx, new=FALSE)

print("Downscale the January mean temperature") 
ds.jan <- DS(Oslo,eofxx)
plot(ds.jan, new=FALSE)

metno/esd documentation built on April 29, 2024, 3:34 p.m.