plot_impact_weighted: 'plot_impact_weighted'

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

Description

'plot_impact_weighted()' takes output from 'calculate_exposure()' and creates a spatial plot

Usage

plot_impact_weighted(data.linked, data.units, link.to = "zips",
  zcta.dataset = NULL, counties. = NULL, metric = "hyads",
  time.agg = "year", legend.lims = NULL, legend.name = NULL,
  plot.name = NULL, map.month = NULL, graph.dir = NULL,
  zoom = TRUE, ...)

Arguments

data.linked	data for plotting as output from disperseR::calculate_exposure()
data.units	information on unit locations as output from disperseR::units()
link.to	spatial scale for plotting. One of 'zips', 'counties', or 'grids' that should match original input to disperseR::calculate_exposure()
zcta.dataset	ZIP code/ZCTA sptial dataset as imported by disperseR::get_data() or subset thereof. Required only if link.to = 'zips'.
counties.	US counties dataset as imported using USAboundaries::us_counties( ) or subset thereof. Required only if link.to = 'counties'.
metric	plotting metric in ‘data.linked' input. Defaults to ’hyads', the default output of disperseR::calculate_exposure().
time.agg	time aggregation matching original input to disperseR::calculate_exposure(). Can be 'month' or 'year'
legend.lims	legend limits string. Defaults to NULL, which creates a scale from 0 to the 95th percentile of the 'metric'. Should be in the form c(lower,upper).
legend.name	legend name string. Defaults to NULL, which creates a legend title of 'Aggregate HyADS Exposure'.
plot.name	plot title string. Defaults to NULL, or a blank title
map.month	specific month to map in form YYYYMM if time.agg = 'month'. Can be created using disperseR::get_yearmon()
graph.dir	location to save output.
...	modeling parameters passed to ggplot2::theme()

Value

Creates ggplot object of spatial HyADS impacts

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