rasterVis (version 0.21)

bwplot-methods: Box and whisker plots of Raster objects.

Description

Methods for bwplot and RasterStackBrick objects using a combination of panel.violin and panel.bwplot to compose the graphic.

Usage

## S3 method for class 'RasterStackBrick,missing':
bwplot(x, data=NULL, layers, FUN,
            maxpixels = 1e+05,
            xlab='', ylab='', main='',
            violin=TRUE,
            par.settings=rasterTheme(),
            scales=list(x=list(rot=45, cex=0.8)),
            ...)
## S3 method for class 'formula,Raster':
bwplot(x, data, dirXY, 
            maxpixels = 1e+05,
            xscale.components=xscale.raster,
            yscale.components=yscale.raster,
            horizontal=FALSE,
            violin=TRUE,
            par.settings=rasterTheme(),
            ...)

docType

methods

See Also

bwplot, panel.violin, subset

Examples

f <- system.file("external/test.grd", package="raster")
r <- raster(f)
s <- stack(r, r-500, r+500)
bwplot(s)

##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

bwplot(SISmm)
bwplot(SISmm, FUN=as.yearqtr)##FUN applies to z if not NULL
##http://neo.sci.gsfc.nasa.gov/Search.html?group=64
pop <- raster('875430rgb-167772161.0.FLOAT.TIFF')
pop[pop==99999] <- NA
levelplot(pop, zscaleLog=10, par.settings=BTCTheme,
          panel=panel.levelplot.raster, interpolate=TRUE)

##http://neo.sci.gsfc.nasa.gov/Search.html?group=20
landClass <- raster('241243rgb-167772161.0.TIFF')
landClass[landClass==254] <- NA


s <- stack(pop, landClass)
names(s) <- c('pop', 'landClass')

bwplot(asinh(pop) ~ landClass|cut(y, 3), data=s,
       layout=c(3, 1), violin=FALSE)

bwplot(asinh(pop) ~ cut(y, 5)|landClass, data=s,
       scales=list(x=list(rot=45)), layout=c(4, 5),
       strip=strip.custom(strip.levels=TRUE))