R: Scatter plot matrices of Raster objects.

splom-methods {rasterVis} | R Documentation

## Scatter plot matrices of Raster objects.

### Description

Draw conditional scatter plot matrices with hexagonally binning.

### Usage

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

### Arguments

`x` | A `RasterStackBrick` object.
`data` | Not used.
`maxpixels` | A numeric, for `sampleRandom`.
`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:
    ##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)

[Package rasterVis version 0.44 Index]