Histogram of Raster objects.
Draw histograms (with lattice
) of Raster objects.
## S4 method for signature 'Raster,missing' histogram(x, data=NULL, layers, FUN, maxpixels = 1e+05, nint=100, xlab='', ylab='', main='', col='gray', between=list(x=0.5, y=0.2), as.table=TRUE, scales=list(x=list(relation='free'), y=list(relation='free', draw=FALSE)), names.attr, par.settings=rasterTheme(), att = 1, ...) ## S4 method for signature 'SpatRaster,missing' histogram(x, data=NULL, layers, FUN, maxpixels = 1e+05, nint=100, xlab='', ylab='', main='', col='gray', between=list(x=0.5, y=0.2), as.table=TRUE, scales=list(x=list(relation='free'), y=list(relation='free', draw=FALSE)), names.attr, par.settings=rasterTheme(), att = 1, ...) ## S4 method for signature 'formula,Raster' histogram(x, data, dirXY, maxpixels = 1e+05, strip=TRUE, par.settings=rasterTheme(), att = 1, ...) ## S4 method for signature 'formula,SpatRaster' histogram(x, data, dirXY, maxpixels = 1e+05, strip=TRUE, par.settings=rasterTheme(), att = 1, ...)
x |
A |
data |
|
layers |
A numeric or character which should indicate the layers to be displayed. |
dirXY |
A direction as a function of the coordinates (see
|
FUN |
A function to applied to the |
nint |
Number of breaks for the histogram. See the documentation of
|
maxpixels |
A numeric, for |
att |
If |
xlab, ylab, main, col |
Arguments for |
names.attr |
Character or expression, names to use in each
panel. If missing its default value is the result of |
between, as.table, scales,
strip, par.settings |
Graphical parameters of |
... |
Additional arguments for |
If you need different breakpoints in each panel, set breaks
explicitely with NULL
, a numeric or a character (for example,
'Sturges'; see hist
for details)
Oscar Perpiñán Lamigueiro
f <- system.file("external/test.grd", package="raster") r <- raster(f) histogram(r) s <- stack(r, r+500, r-500) ## Same breakpoints across panels histogram(s) ## Each panel with different breakpoints histogram(s, breaks=NULL) histogram(s, breaks='Sturges') histogram(s, breaks=30) ## Categorical data r <- raster(nrow=10, ncol=10) r[] = 1 r[51:100] = 3 r[3:6, 1:5] = 5 r <- ratify(r) rat <- levels(r)[[1]] rat$landcover <- c('Pine', 'Oak', 'Meadow') rat$class <- c('A1', 'B2', 'C3') levels(r) <- rat histogram(r) histogram(r, att = "class") ## Not run: library(zoo) 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 idx <- seq(as.Date('2008-01-15'), as.Date('2008-12-15'), 'month') SISmm <- setZ(stackSIS, idx) names(SISmm) <- month.abb histogram(SISmm) histogram(SISmm, FUN=as.yearqtr) ## With the formula interface you can create histograms for a set of variables histogram(~ Jan + Dec, data=SISmm) ## Or use the coordinates for generating zonal histograms. ## For example, five histograms for each latitude zone histogram(~ Jan | cut(dirXY, 5), dirXY = y, data=SISmm) ## More sophisticated bands can be defined using the dirXY argument histogram(~ Jan | cut(dirXY, 5), dirXY = x^2 + y^2, data=SISmm) setwd(old) ## End(Not run) ## Not run: ##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') histogram(~asinh(pop)|landClass, data=s, scales=list(relation='free'), strip=strip.custom(strip.levels=TRUE)) ## End(Not run)
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