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 need to find a workaround
> anyways. However, since what my colleagues and I are interested in
> are pixel-by-pixel spectral analyses, I assume the best approach would
> be to pass the spectra either from ENVI/IDL (for which there is no
> frontend, but I have logged a request with ITT Visual Solutions to
> develop one) or conversely from ArcGIS (which can read ENVI data with
> the ENVI Reader) into R for analysis.
>
> Are you aware of ways to send arrays back and forth between R and ArcGIS?
>
> Guy
>
> On Tue, Jul 29, 2008 at 4:24 PM, Roger Bivand <[EMAIL PROTECTED]> wrote:
> > 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 more memory, 64-bit Linux works fine. Seriously, R is for statistics,
> so
> > its memory management is designed for samples, even though very large
> > samples can be handled when used appropriately. If your data are in a
> > GeoTiff, you can read them by band using functions in the rgdal package,
> or
> > equally well many bands in a window or tile of a larger scene. Note that
> > ArcGIS uses GDAL too for handling some raster formats. Using R does mean
> > thinking through your work flow.
> >
> > Roger
> >
> >>
> >> Is there a way to improve memory management by R, so that it only
> >> reads in the data when actually needed for processing, e.g., only read
> >> in the bands I need, or conversely read in spectra on a per-pixel
> >> basis?
> >>
> >> Guy
> >>
> >> On Tue, Jul 29, 2008 at 4:05 PM, PUJAN RAJ REGMI
> >> <[EMAIL PROTECTED]> wrote:
> >>>
> >>> This might help to mange the orientation of image:
> >>>
> >>> # To read ENVI format
> >>> cir.image<-("YOUR_ENVI_FILE")
> >>>
> CIR.envi<-read.ENVI(cir.image,headerfile=paste(cir.image,".hdr",sep=""))
> >>> # To Show image
> >>> CIR.envi.band1<-CIR.envi[,,1]
> >>> CIR.envi.band1.s<-CIR.envi.band1[order(nrow(CIR.envi.band1):1),]
> >>> CIR.envi.band1.t<-t(CIR.envi.band1.s)
> >>> image(CIR.envi.band1.t,main="")
> >>> mtext("Raw Matrix ENVI Image for Band1", side=3,line=2,
> font=3,cex=1.25)
> >>>
> >>> Pujan
> >>> ________________________________
> >>>>
> >>>> From: [EMAIL PROTECTED]
> >>>> To: [EMAIL PROTECTED]; R-sig-Geo@stat.math.ethz.ch
> >>>> Date: Tue, 29 Jul 2008 14:24:04 -0400
> >>>> Subject: Re: [R-sig-Geo] ENVI data and R
> >>>>
> >>>> This code might help:
> >>>>
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>> ## Read in envi file
> >>>> cir.image <- "C:/YOUR_ENVI_FILE"
> >>>> CIR.envi = read.ENVI(cir.image, headerfile=paste(cir.image,".hdr",
> >>>> sep=""))
> >>>>
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>> ## Show image
> >>>> CIR.envi.band1 <- CIR.envi[,,1]
> >>>> image(CIR.envi.band1, main="")
> >>>> mtext("Raw Matrix ENVI Image for Band 1", side=3,line = 2, font=3,
> >>>> cex=1.25)
> >>>>
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>>
> >>>>
> >>>>
> ############################################################################
> >>>> ####
> >>>>
> >>>> Andrew Niccolai
> >>>> Doctoral Candidate
> >>>> Yale School of Forestry
> >>>>
> >>>>
> >>>>
> >>>> -----Original Message-----
> >>>> From: [EMAIL PROTECTED]
> >>>> [mailto:[EMAIL PROTECTED] On Behalf Of Guy Serbin
> >>>> Sent: Tuesday, July 29, 2008 12:55 PM
> >>>> To: R-sig-Geo@stat.math.ethz.ch
> >>>> Subject: [R-sig-Geo] ENVI data and R
> >>>>
> >>>> 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 BARC-West
> >>>> 10300 Baltimore Blvd
> >>>> Beltsville, MD 20705-2350 USA
> >>>> +1(301)504-5250 [EMAIL PROTECTED]
> >>>>
> >>>> _______________________________________________
> >>>> R-sig-Geo mailing list
> >>>> R-sig-Geo@stat.math.ethz.ch
> >>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> >>>>
> >>>> _______________________________________________
> >>>> R-sig-Geo mailing list
> >>>> R-sig-Geo@stat.math.ethz.ch
> >>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> >>>
> >>> ________________________________
> >>> Stay in touch when you're away with Windows Live Messenger. IM anytime
> >>> you're online.
> >>
> >>
> >>
> >>
> >
> > --
> > Roger Bivand
> > Economic Geography Section, Department of Economics, Norwegian School of
> > Economics and Business Administration, Helleveien 30, N-5045 Bergen,
> > Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
> > e-mail: [EMAIL PROTECTED]
> >
> >
>
>
>
> --
> Guy Serbin, Ph.D.
> Research Soil Scientist
> Hydrology and Remote Sensing Lab
> Bldg 007 Rm 104 BARC-West
> 10300 Baltimore Blvd
> Beltsville, MD 20705-2350 USA
> +1(301)504-5250 [EMAIL PROTECTED]
>
> _______________________________________________
> R-sig-Geo mailing list
> R-sig-Geo@stat.math.ethz.ch
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>
--
Matthew J. Oliver
Assistant Professor
College of Marine and Earth Studies
University of Delaware
700 Pilottown Rd.
Lewes, DE, 19958
302-645-4079
http://www.ocean.udel.edu/people/profile.aspx?moliver
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