How to plot raster obtained from readRAST6 in grey scale?
Thanks - I was quite in a rush when writing the question - sorry about that. But it works now with image(TheImage, col=gray.colors(10, start=0.9, end=0.3)
On 08/03/2008, Roger Bivand <Roger.Bivand at nhh.no> wrote:
Uwe Ligges <ligges <at> statistik.tu-dortmund.de> writes:
> > > Rainer M Krug wrote:
> > Hi > > > > I have a raster which I would like to plot in a greyscale instead of > > colour. Is this possible, and how?
> > Probably, and we may tell you how given you tell us what "raster" means: >
> > ?raster
> No documentation for 'raster' in specified packages and libraries:
> you could try 'help.search("raster")'
It is possible that this is a spatial object, like a digital picture, so the
function or method used may have been image(), and the relevant argument was
col=. It would help greatly if the question was rendered in R:
"I have an object X:
str(X, max.level=1, give.attr=FALSE)
which I would like to plot in a greyscale instead of colour:
image(X)
Which arguments to method "image" should I use?"
However, re-phrasing answers the question to ?image and probably then to "Where
are greyscale colours?" then to help.search("grey") so to gray.colors?, and
avoids the posting altogether.
If the method is spplot in package sp, the same would hold. In any case, for
spatial data (raster is a rather spatial incantation) the R-sig-geo list might
be more suitable.
Roger
> > Uwe Ligges >
> > > > Thanks > > > > Rainer > >
> > ______________________________________________ > R-help <at> r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code. > >
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701 South Africa