splom-methods {rasterVis} | R Documentation |
Draw conditional scatter plot matrices with hexagonally binning.
## S4 method for signature 'RasterStackBrick,missing' splom(x, data=NULL,maxpixels=1e5, plot.loess=FALSE, colramp=BTC, varname.cex=0.6,...)
x |
A |
data |
Not used. |
maxpixels |
A numeric, for |
plot.loess |
Logical, should a loess fit be drawn?. |
colramp |
A function accepting an integer |
varname.cex |
A numerical multiplier to control the size of the variables names. |
... |
Additional arguments for splom. |
While the hexagonal binning is quite fast for large datasets, the
use of the loess
fit will slow this function.
Oscar Perpiñán Lamigueiro
## Not run: ##Solar irradiation data from CMSAF ##Data available from http://www.box.net/shared/rl51y1t9sldxk54ogd44 old <- getwd() ##change to your folder... setwd('CMSAF') listFich <- dir(pattern='2008') stackSIS <- stack(listFich) stackSIS <- stackSIS*24 ##from irradiance (W/m2) to irradiation Wh/m2 setwd(old) idx <- seq(as.Date('2008-01-15'), as.Date('2008-12-15'), 'month') SISmm <- setZ(stackSIS, idx) names(SISmm) <- month.abb splom(SISmm) ## End(Not run)