calculate_exposure: create a set of directories to run disperseR

In lhenneman/disperseR: Run HYSPLIT many times in parallel, aggregate to zip code level, plot the results, save the plots.

Description

'calculate_exposure()' takes linked HYSPLIT outputs combined using 'disperseR::combine_monthly_links()' and sums them by emissions. The results can be aggregated to three different source levels and two different time scales. Various combinations of 'year.E' and 'year.D' can be applied to develop counterfactual scenarios.

Usage

calculate_exposure(year.E, year.D, link.to = "zips",
  pollutant = "SO2..tons.", units.mo, rda_file = "loaded",
  exp_dir = NULL, source.agg = c("total", "facility", "unit"),
  time.agg = c("year", "month"), return.monthly.data = F)

Arguments

year.E	emissions year
year.D	HYSPLIT year
link.to	spatial scale for plotting. One of 'zips', 'counties', or 'grids' that should match original input to disperseR::link_all_units()
pollutant	name of column in 'units.mo' for weighting
rda_file	specification of data location produced by ‘disperseR::combine_monthly_links()'. Can denote ’loaded' if the object is loaded in the .GlobalEnv() or a file location
source.agg	source aggregation level
time.agg	time aggregation level
return.monthly.data	logical. If TRUE, returns monthly datasets if ‘time.agg = ’month''. Set to FALSE to save memory space.
exo_dir	file path to save resulting exposure dataset

Details

calculate_exposure

Value

Creates directories (does not overwrite if existing). Outputs string variables with paths to the environment.

lhenneman/disperseR documentation built on Nov. 14, 2021, 6:24 p.m.