| writeFIA | R Documentation |
Write FIA.Database object to local directory as a series of .csv files representing each table. Most useful for writing merged states and temporal/spatial subsets of the database. Once written as .csv, files can be reloaded into R with readFIA().
writeFIA(db, dir, byState = FALSE, nCores = 1, ...)
db |
|
dir |
directory where FIA Datatables will be stored. |
nCores |
numeric; number of cores to use for parallel implementation. Check available cores using |
byState |
logical; should tables be written out by state? Must be TRUE if planning to load data as an out-of-memory database in the future (see |
... |
other arguments to pass to |
Easy, efficient parallelization is implemented with the parallel package. Users must only specify the nCores argument with a value greater than 1 in order to implement parallel processing on their machines. Parallel implementation is achieved using a snow type cluster on any Windows OS, and with multicore forking on any Unix OS (Linux, Mac). Implementing parallel processing may substantially decrease decrease free memory during processing, particularly on Windows OS. Thus, users should be cautious when running in parallel, and consider implementing serial processing for this task if computational resources are limited (nCores = 1).
No return value, called to export FIA.Database object to a local directory.
Hunter Stanke and Andrew Finley
readFIA, getFIA
# Write the 'fiaRI' object to a temporary directory
# Replace temp_dir with the path to your directory (where data will be saved)
temp_dir = tempdir()
writeFIA(fiaRI, dir = temp_dir)
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