[R-sig-Geo] Memory management with rasterToPolygons (raster and rgeos)
pgalpern
pgalpern at gmail.com
Thu Jan 5 03:57:47 CET 2012
Hello!
Not sure if this is the best place to ask what may ultimately be an
rgeos question.
I am running the latest versions of the raster and rgeos packages under
64bit 2.14.1 on Windows 2008R2 Server with 12GB RAM and having some
challenges with memory.
I am turning rasters (approx 500 x 1000 cells) into 1500
SpatialPolygons, representing each of the feature classes. It works as
it should, using rasterToPolygons(x, dissolve=T) but memory overhead is
sky high.
For example, a single instance of this function quickly consumes 2-3 GB
and would probably consume more if other instances were not also running
simultaneously. As a result disk swapping occurs which slows
everything down. Interestingly, the input raster and output
SpatialPolygons objects are only megabytes in size. Running this under
32bit R doesn't seem to help and occasionally results in memory
allocation failures.
Finally, deleting the raster and polygons objects when the function is
complete and running gc() does not seem to release the memory. Instead
the entire R instance needs to be terminated.
Can anyone tell me if this is expected behaviour ... or perhaps suggest
a more memory efficient approach.
Thank you,
Paul
--
Paul Galpern, PhD Candidate
Natural Resources Institute
70 Dysart Road
University of Manitoba
Winnipeg, Manitoba, Canada R3T 2M6
http://borealscape.ca
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