clim_locs_prep: Extract climate values for point locations
In leonawicz/snapprep: Prepare And Curate Useful Data Sets From Raw SNAP Data

Description Usage Arguments Details Examples

Extract monthly climate values for point locations by RCP, climate model and climate variable.

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clim_locs_prep(inputs, in_dir = snapdef()$ar5dir,
  out_dir = snapdef()$ar5dir_locs_prep, verbose = TRUE,
  overwrite = FALSE)

`inputs`	data frame of inputs (one row). See details.
`in_dir`	input directory, e.g., `snapdef()$ar5dir`.
`out_dir`	output directory, e.g., `snapdef()$ar5dir_locs_prep`
`verbose`	logical, verbose progress.
`overwrite`	logical, overwrite existing files.

inputs generally comes from clim_inputs_table. clim_locs_prep processes data sets referred to by one row of this data frame at a time. This function generates intermediary temp files used susbsequently by clim_locs and can be deleted afterward if not needed for other uses where it is convenient to have extracted point location climate data segmented into files by RCP, model and variable as opposed to by point location.

## Not run: 
library(dplyr)
library(parallel)
inputs <- clim_inputs_table() %>%
  filter(!(model == "ts40" & var %in% c("tasmin", "tasmax")))
mclapply(split(inputs, 1:nrow(inputs)), clim_locs_prep, mc.cores = 32)

## End(Not run)