Try
memory.limit(size = 4000)
On Tue, Jul 29, 2008 at 4:38 PM, Guy Serbin <[EMAIL PROTECTED]> wrote:
> My machine currently has 4 GB on it, but a lot of that's getting eaten
> by video memory and the other programs I have in memory. Also, some
> of my image cubes are 12 GB in size, so I'd nee
Try
memory.limit(size = 4000)
On Tue, Jul 29, 2008 at 4:38 PM, Guy Serbin <[EMAIL PROTECTED]> wrote:
> My machine currently has 4 GB on it, but a lot of that's getting eaten
> by video memory and the other programs I have in memory. Also, some
> of my image cubes are 12 GB in size, so I'd nee
My machine currently has 4 GB on it, but a lot of that's getting eaten
by video memory and the other programs I have in memory. Also, some
of my image cubes are 12 GB in size, so I'd need to find a workaround
anyways. However, since what my colleagues and I are interested in
are pixel-by-pixel sp
On Tue, 29 Jul 2008, Guy Serbin wrote:
Thank you all for the help- I successfully read an image into R using
these methods.
I did, however, encounter some problems when loading a hyperspectral
image cube into R as it was unable to allocate the 2.9 GB of volatile
memory that it needed.
Buy mor
Thank you all for the help- I successfully read an image into R using
these methods.
I did, however, encounter some problems when loading a hyperspectral
image cube into R as it was unable to allocate the 2.9 GB of volatile
memory that it needed.
Is there a way to improve memory management by R,
This might help to mange the orientation of image:
# To read ENVI
formatcir.image<-("YOUR_ENVI_FILE")CIR.envi<-read.ENVI(cir.image,headerfile=paste(cir.image,".hdr",sep=""))#
To Show
imageCIR.envi.band1<-CIR.envi[,,1]CIR.envi.band1.s<-CIR.envi.band1[order(nrow(CIR.envi.band1):1),]CIR.envi.ban
On Tue, 29 Jul 2008, Guy Serbin wrote:
Hi list,
I'm going to borrow what I just learned from my other thread. I'd
export your raster data as an ENVI file, which ArcGIS should be able
to read with the ENVI Reader for ArcGIS installed.
1. Go to www.ittvis.com and download the appropriate versio
Hi list,
I'm going to borrow what I just learned from my other thread. I'd
export your raster data as an ENVI file, which ArcGIS should be able
to read with the ENVI Reader for ArcGIS installed.
1. Go to www.ittvis.com and download the appropriate version of the
ENVI Reader for ArcGIS (1.1 for A
Hi Matt (and list),
ArcGIS still (as far as I know) doesn't work with rectangular cells. This
isn't a problem with the AsciitoGrid function, but I think is more
fundamentally a problem with Arc's raster data structure.
The trick to getting around this may be to convert your matrix to a point
o
This code might help:
## Read in envi file
cir.image <- "C:/YOUR_ENVI_FILE"
CIR.envi = read.ENVI(cir.image, headerfile=paste(cir.image
Dear list,
I'm trying to bring an ASCII raster file into ArcGIS that resulted from
calling the R function Tsp(), which is in the "fields" library, followed
by the use of the function predict.surface() to generate the matrix of
predicted values. These functions use many of the same inputs as the
Guy,
I don't know the answer to your question. However, depending on what you
are trying to do, might it be possible to use GRASS GIS in place of what
you are doing with IDL in ENVI? GRASS plays quite nicely with R. You
probably can read ENVI image data into R, but you may need to go through
Hi,
I was wondering if anyone knows how to either call up R functions from
within IDL, or conversely read ENVI image data into R. If you have
any advice I'd greatly appreciate it.
Thanks,
Guy Serbin
--
Guy Serbin, Ph.D.
Research Soil Scientist
Hydrology and Remote Sensing Lab
Bldg 007 Rm 104 B
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