splom-methods function

Scatter plot matrices of Raster objects.

Draw conditional scatter plot matrices with hexagonally binning. methods

## S4 method for signature 'Raster,missing'
splom(x, data=NULL,maxpixels=1e5,
plot.loess=FALSE, colramp=BTC, varname.cex=0.6,...)
## S4 method for signature 'SpatRaster,missing'
splom(x, data=NULL,maxpixels=1e5, plot.loess=FALSE, colramp=BTC, varname.cex=0.6,...)

Arguments

• x: A Raster or a SpatRaster object.
• data: Not used.
• maxpixels: A numeric, for sampleRandom or spatSample.
• plot.loess: Logical, should a loess fit be drawn?.
• colramp: A function accepting an integer n as argument and returning n colors (for hexbinplot).
• varname.cex: A numerical multiplier to control the size of the variables names.
• ...: Additional arguments for splom.

Author(s)

Oscar Perpiñán Lamigueiro

Note

While the hexagonal binning is quite fast for large datasets, the use of the loess fit will slow this function.

See Also

hexbinplot, splom

Examples

## Not run:

library(raster)
library(terra)

dataURL <- "https://raw.github.com/oscarperpinan/bookvis/master/data/"

##Solar irradiation data from CMSAF http://dx.doi.org/10.5676/EUM_SAF_CM/RAD_MVIRI/V001
old <- setwd(tempdir())
download.file(paste0(dataURL, "SISmm2008_CMSAF.zip"),
   "SISmm2008_CMSAF.zip", method='wget')
unzip("SISmm2008_CMSAF.zip")

listFich <- dir(pattern='\\.nc')
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)