Open mohseniaref-InSAR opened 2 years ago
y <- HiClimR(x, lon = lonn, lat = latt, lonStep = 1, latStep = 1, geogMask = FALSE, meanThresh = FALSE, varThresh = 0, detrend = FALSE,standardize = TRUE, nPC = NULL, method = "single", hybrid = FALSE, kH = NULL,members=NULL,nSplit = 4,upperTri = TRUE, verbose = TRUE,validClimR = TRUE, k = 12, minSize = 1, alpha = 0.01,plot = TRUE, colPalette = NULL, hang = -1,labels = FALSE)
Data filtering... ---> 60485454 rows found, mean ≤ FALSE ---> 41238667 rows found, variance ≤ 0
@mohseniaref-InSAR meanThresh
should be numeric not logical. Also, it seems that a large number of rows has been filtered with variance ≤ 0. As for the memory allocation error, the dissimilarity matrix for big data requires large amount of memory. You may try coarsening spatial resolution (lonStep
and/or latStep
> 1)or increasing the number of splits (nSplit
> 1):
# Coarsening spatial resolution
lonStep = 1, latStep = 1,
# Big data support:
nSplit = 1, upperTri = TRUE, verbose = TRUE,
Hi,
I got the following error, I was wondering if you can help me regarding this issue? Is there any way to deal with memory issues and big data?
Best regards, Mohammad
The error