Greetings,
I am trying to read an image from GRASS using the spgrass6 command
readRAST6 and then convert it into a data.frame object so I can use it
with randomForest. The byte image I'm reading is 2732 rows x 3058
columns x 3 bands. It's a small subset of a larger image I would like to
use eventually. I have no problem reading the image using readRAST6 but
when I try to convert it to a data.frame object my linux system
resources (1BG RAM, 3GB swap) nearly get maxed out and it runs for a
couple hours before I kill the process. The image is less than 25MB so
I'm surprised it requires this level of memory. Can someone let me know
why this is. Should I use something other than the GRASS interface for
this? These are the commands I'm using:
spot <- readRAST6(c(“subset.red”, “subset.green”, “subset.blue”))
spot_frame <- as(spot, “data.frame”)
Any help would be appreciated.
All the best,
Ned
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