splom-methods: Scatter plot matrices of Raster objects.

In rasterVis: Visualization Methods for Raster Data

Scatter plot matrices of Raster objects.

Description

Draw conditional scatter plot matrices with hexagonally binning.

Usage

## 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.

Note

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

Author(s)

Oscar Perpiñán Lamigueiro

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)

rasterVis documentation built on Nov. 2, 2023, 5:25 p.m.