tsar: scalable time-series computations on 3D raster stacks

In johntruckenbrodt/tsar: Time-Series computation Automation for Raster images

Description

scalable time-series computations on 3D raster stacks

Usage

tsar(raster.name, workers, cores, out.name, out.bandnames = NULL,
  out.dtype = "FLT4S", separate = T, na.in = NA, na.out = -99,
  overwrite = F, verbose = T, nodelist = NULL, bandorder = "BSQ",
  maxmemory = 100, compress_tif = F, mask = NULL)

Arguments

raster.name	a 3D raster object with dimensions in order lines-samples-time
workers	a named list containing the functions for computation
cores	the number of parallel processes per node
out.name	the name of the output. Either a single file or a folder of separate files (determined by parameter separate)
out.bandnames	(optional) the names of the output bands; names are determined from the function names in workers if left empty
out.dtype	the datatype of the written files. See dataType for options.
separate	should the resulting bands be written to individual files? Otherwise a single ENVI block is written.
na.in	the pixel value for NA in raster.name
na.out	the pixel value for NA in the output files
overwrite	should the output files be overwritten if they already exist? If separate all output files are checked
verbose	write detailed information on the progress of function execution?
nodelist	the names of additional server computing nodes accessible via SSH without password
bandorder	the output file pixel arrangement,one of 'BIL', 'BIP' or 'BSQ'
maxmemory	the maximum memory in Mb used per node
compress_tif	should the written GeoTiff files be compressed?
mask	an additional file or raster layer; computations on raster.name are only performed where mask is 1, otherwise NA is returned for all resulting layers

Value

None

See Also

stack, calc, clusterR, makeCluster

johntruckenbrodt/tsar documentation built on Feb. 3, 2018, 8 p.m.