Dear useRs,
I'm trying to read jpeg and GeoTiff with readGDAL() (rgdal package). The
jpeg is about 5.6 MB in size, has 3063 rows and 4870 columns and has 3
bands. The tiff is 3.7 MB, has 15750 rows and 12600 colums and 1 band. I
can't import neither of them in R due to a lack of memory. Although I've
set the memory limit to the max (memory.limit(size =
round(memory.limit()/1048576.0, 2))). I'm running R 2.4.1 on a Win Xp
machine with 2 GB RAM.
So far I managed to read in the data but a lower resolution, which I
don't want. Any suggestions on a more efficient way to import these
files. Solutions based on Spatial-classes are prefered.
Here is the code I'm using now.
library(rgdal)
memory.limit(size = round(memory.limit()/1048576.0, 2))
info <- GDALinfo("d://ferraris0894.jpg")
readGDAL("d://ferraris0894.jpg", output.dim = round(c(info[["rows"]],
info[["columns"]]) / 2))
sessionInfo()
R version 2.4.1 (2006-12-18)
i386-pc-mingw32
locale:
LC_COLLATE=Dutch_Belgium.1252;LC_CTYPE=Dutch_Belgium.1252;LC_MONETARY=Du
tch_Belgium.1252;LC_NUMERIC=C;LC_TIME=Dutch_Belgium.1252
attached base packages:
[1] "stats" "graphics" "grDevices" "utils" "datasets" "tcltk"
[7] "methods" "base"
other attached packages:
rgdal sp svIO R2HTML svMisc svSocket svIDE
"0.5-8" "0.9-13" "0.9-5" "1.58" "0.9-5" "0.9-5" "0.9-5"
Thanks,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Reseach Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
[EMAIL PROTECTED]
www.inbo.be
Do not put your faith in what statistics say until you have carefully
considered what they do not say. ~William W. Watt
A statistical analysis, properly conducted, is a delicate dissection of
uncertainties, a surgery of suppositions. ~M.J.Moroney
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