Displaying 1 result from an estimated 1 matches for "temp_data_mat".
2011 May 10
1
Reading a large netCDF file using R
...allocate vector of size 2.1 Gb
This file has six hourly data for the 199 x 99 points for 10 years. I wanted
to aggregate this data into a monthly scale. I tried used a simple code like
this
for (i in 1:noofdays) {
for (j in 0:3) {
x= get.var.ncdf(nc,v1,start=c(1,1,(i+j)),count=c(199,99,1))
temp_data_mat=temp_data_mat+x
}
for (x1 in 1:199) {
for (x2 in 1:99) {
data_mat_89_99[x1,x2,ctr]=temp_data_mat[x1,x2]
}
}
ctr=ctr+1
temp_data_mat=matrix(0,ncol=99,nrow=199)
}
I didnt think it worked... can u suggest me some other way ... I could not
use the start and count properly
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