Advait,
The is an error in the file, I think, see below:
> library(ncdf)
> filename = "c:/downloads/regcm.cumul.hdd.10k.96_05.new.nc"
> nc <- open.ncdf(filename)
>
> zvar <- 'hdd'
> nc$var[[zvar]]$dim[[1]]$len
[1] 507
> nc$var[[zvar]]$dim[[2]]$len
[1] 356
>
> xx <- nc$var[[zvar]]$dim[[1]]$vals
>
Oops, that has been fixed on r-forge, but not CRAN. Please try to
install from here (you need the latest version of R for that) like
this:
install.packages("raster", repos="http://R-Forge.R-project.org";)
I will update to CRAN this week.
Robert
On Tue, Nov 30, 2010 at 12:32 PM, Fernando Santo
Dear Giuseppe,
I am using 2 processor of 2 Gb. I did not know about this problem. Is
there a way to allocate more memory in linux? I believe that the answer
is in R help ?Memory. But I did not understand how to do it. Starting
R from the shell with R --min-vsize=100M --max-vsize=3G --min-
See ?image, ?persp in the graphics package, ?levelplot and ?wireframe
in the lattice package, and ?surface3d in the rgdal package.
The sp package has methods for the graphics and lattice functions if
you use Spatial objects.
If you want functions for kernel density, see ?kde2d in MASS, and the
sp
Dear Robert,
Thanks a lot for your attention. I downloaded the raster package and
manual. I am still digesting all this information...
I just tried to do a quick adaptation in my code and it did not worked.
I am doing something wrong...
Fernando
# read the data
dat <- read.csv("/home/fern
Dear Robert,
here is the link to the file:
http://dl.dropbox.com/u/4030944/regcm.cumul.hdd.10k.96_05.new.nc. It is a
large file ~400 MB. Let me know if dropbox is not convenient and you would
rather do ftp - but our machines are down for maintenance and I may not be
immediately able to get access
Hello List (and Jorge),
Im looking for advice on back-transforming kriged values. I know this has
previously been discussed on the list but havent found a satisfactory
solution for my application. Apologies if Ive missed it somewhere.
Im trying to estimate the density of two species at
On the multi-core topic: Matteo Matiuzzi and I have started building
multi-core processing into 'raster' functions. Only testing it with a
few functions right now. (see ?beginCluster in the R-Forge version of
raster). 'interpolate' or 'predict' do not have this capacity yet, but
they are very high
Dear all,
I am writing a paper for publication and I have problems to draw kernel
surface maps in R. In the descriptive part of the paper I would like to
place some thematic kernel surface maps, but I don't no how to do it. Is
there a way to do with the traditional libraries like: spdep or maps?
The error in wirteOGR() was caused by the long names of the variables
in the table
of the SPDF object that were listed in the warnings. Fixed by renaming
some columns in the data slot to shorter names.
The error was not related to the warnings issued at creating the SPDF
object by my function,
tho
Yes,
in almost all "prediction" command you can apply to a tiles grids, as
is suggested by Robert.
Anyway be sure that you are using all your 4 G. If you have 2
processor of 2 G, and you run R in a shell you will use only the 2 G
of one processor. In this case the multicore/parallel packages can
Ya, the codes done, I was just checking out the changes to the source before
doing an update and saw that he had changed extent.
On Mon, Nov 29, 2010 at 11:48 PM, Agustin Lobo wrote:
> Thanks,
>
> and summarizing messages exchanged with Robert,
>
> subs = bN3[1000:1100,1000:1100, drop=FALSE]
>
>
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