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Is there anyone in this site using Revolution R with big spatial data ?

I am trying to load raster files (ascii format) into revolution r using the xdf format, with no luck. Did anyone tried this already?

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If you have big rasters why are you storing them in this format? But, if you can install rgdal just load it with x = readGDAL("file.asc"), or for better memory handling the raster package with x = raster("file.asc"). It depends on what you need to do with them . . . – mdsumner Apr 3 '12 at 9:01
I will need to use the data as matrix. so i thought about importing directly in ascii format, but it's true it's huge. one option would be to use revolution r, but most of the examples are given for normal csv tables – A.R Apr 3 '12 at 10:25
Hmm, I was assuming you meant the "ESRI ASCII" grid format. Why Revolution R? Just memory issues? If these really are raster grids then that package in R is good, otherwise maybe the ff package for general out-of-memory data structures. – mdsumner Apr 3 '12 at 10:30
just memory issues, they have already installed some parallel packages that can help, however I am having some problems in adapting the file format(xdf) to gis data. I will see what I can find and will try to update the question with more info. – A.R Apr 3 '12 at 13:32
Have you tried rxReadXdf function? See Table 01 in this document. – Andre Silva Jan 26 '14 at 15:37

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