image.seas.sum {seas}R Documentation

Show a seasonal sum data object

Description

Graphically display a seasonal sum object, as well as the method of solution of the median/quantile ‘normal’

Usage

## S3 method for class 'seas.sum':
image(x, start, end, var, norm = "days", maxz, nlevels = 128,
      maxa, col = .65, dark = 0, gamma = 0.8, sqrt = FALSE, 
      show.na = TRUE, show.median = TRUE, contour = TRUE, ...)

Arguments

x a seas.sum object
start start year; if omitted minimum year will be used
end end year; if omitted will use same as start, and if start is omitted, will use maximum year
var the desired variable to show, otherwise will use the prime variable, defined in x
norm variable to normalize by, usually "days", to produce unit/day
maxz maximum value to be displayed
nlevels number of colour levels
maxa maximum for annual axis, on right-hand graphs (if show.median=TRUE)
col colour or hue, between [0,1]
dark darkness of colour
gamma gamma correction for colour
sqrt logical; square root of the values to be taken (legend is transposed back to original unit)
show.na logical; put red a ‘x’ where data are NA
show.median logical; show how the median calculation is achieved graphically (computationally it is done using a secant method); see seas.norm for more information on this method
contour logical; show contours in lower left-hand plot
... other arguments passed to .seastitle and .seascols for title style, colours, and other customizations to the appearance

Details

This is a graphical representation of a seas.sum object, and is far more informative than a traditional precipitation “normal” (i.e., precip.norm or precip.norm)

If norm = "days" and show.median = TRUE (default), the seasonal sums appear in right-hand frames. Horizontal and vertical lines indicate a ‘normal’ from the image, whereby the sum of the quantile is equal to the median of the annual ammount. This numerical solution is found using seas.norm.

Author(s)

M.W. Toews

See Also

seas.sum, seas.norm

Examples

data(mscdata)

dat.ss <- seas.sum(mscdata, id=1108447, width="mon")
image(dat.ss)

image(dat.ss,contour=FALSE)

image(dat.ss,norm="active")


[Package seas version 0.2-1 Index]