On Fri, 11 Jan 2008, Henrik Bengtsson wrote:
Try the EBImage package (utilizes ImageMagick and is available via
Bioconductor.org) - not sure if it well help though. If not, try to
clip the larger image by calling ImageMagick outside R.
First, please only write to one list at a time - this reply to both to
continue thread.
Please read the documentation in the rgdal package properly, then on the
format (unknown) that your data are in on www.gdal.org if necessary. Use
the arguments to readGDAL() or asSGDF_GROD() in ?readGDAL, and/or
getRasterData() or getRasterTable() in ?"GDALRasterBand-class", most
likely offset= to offset the origin in rows and columns, and region.dim=
to set the numbers of rows and columns to access.
You should be able to work out the ones you need from the smaller image
that you can read. The GDALinfo() function should give you enough
information on the larger file to help set up offset= and region.dim= - if
resampling is needed, use output.dim= as well. If you have multiple bands,
you can choose those too.
Roger
/HB
On 11/01/2008, Milton Cezar Ribeiro <[EMAIL PROTECTED]> wrote:
Dear all,
I have a so large image (43,000 x 18,000 pixels) and I need clip this
image with a smallest one (1000x1000 pixels). I can read the second
image using rgdal package. But the first image can´t be read on my
system because if memory limitation (I have about 2GB availabe).
So I would like hear from you if anyone have some suggestin in this regards. I
have also ArcGis 8.6 ans Erdas 8.3 running on my system and I can read the
largest file without problem. But I dont know how clip the large image to keep
only those pixels that math to he smallest image coordinates.
kind regards, miltinho
para armazenamento!
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