Hi Janet,
This question would probably be more suited for the r-sig-geo mailing
list. In my view, the best option is to use a tool like wgrib to dump
the layer you want from the grib file to text and then read it into R
using e.g. read.table. See also the spatial data classes provided to R
through the sp-package. A good book on spatial data in R is the book by
Bivand et al [1]. The spatial task view is another good source of
information [2].
regards,
Paul
[1]
http://www.springer.com/public+health/epidemiology/book/978-0-387-78170-9
[2] http://cran.r-project.org/web/views/Spatial.html
On 08/05/2010 06:37 PM, Janet Nye wrote:
I am not new to R, but I am new to .grib files. I am downloading some
climate data and I would like to analyze it in R. R has a nice netcdf
package, but I don’t see any package available to deal specifically
with grib files. I see a few posts from other people using grib files
in R. However, I was unclear if they used grib files in a different
software program and then imported the data somehow into R. Is it
possible to use read grib files in R and then use the data? If so,
could someone point me to a book/website that might help me learn how
to do this? Any advice would be helpful…I am beginning to think I
should use a different software program, but I’d like to use R!
Thanks,
Janet
______________________________________________
R-help@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.
--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +3130 253 5773
http://intamap.geo.uu.nl/~paul
http://nl.linkedin.com/pub/paul-hiemstra/20/30b/770
______________________________________________
R-help@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.
