I am trying to make a predicted vegetation map using the predict ( )
function and am running into an issue with memory size
Specifically I am building a random forest classification (dataframe = "
vegmap.rf") using the randomForest library and then am trying to apply
results from that to construct a predicted map (dataframe ="testvegmap.pred
"):
testvegmap.pred <-predict(vegmap.rf, veg)
And when I try to run this I get a message of: "cannot allocate vector of
size 88.0Mb"
I have used the series of commands below to increase the memory size to
4000Mb (the largest I seemingly can expand to):
memory.size(max=FALSE)
memory.limit(size=4000)
Any suggestions? Is my only option to reduce the size of the area I am
trying to make a predicted map of?
Thanks
Brad
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