image.seas.sum {climate.plot} | R Documentation |
Graphicly dispay a seasonal sum object.
image.seas.sum(x, start, end, param, norm = "days", maxz, nlevels = 128, maxa, col = .65, dark = 0, gamma = 0.8, lwd = 2, sqrt = FALSE, show.na = TRUE, show.median = TRUE, contour = FALSE, ...)
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 |
param |
the desired parameter show, otherwise will use the prime paremeter, defined in x |
norm |
parameter to normilize 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 |
lwd |
line-thickness for median/mean lines (if show.median=TRUE ) |
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 acheived 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 for title style, and other customizations to the appearance |
This is a graphical representation of a seas.sum
object, and is far more infomative than a traditional precipitation “normal” (i.e., precip.norm
or precip.norm
)
M.W. Toews
data(mscdata) dat.ss <- seas.sum(mscdata, id=1108447, width="mon") image(dat.ss)