sim_riskbydistance: Simulate disparities as risk, pop density, and demographics...

In ejanalysis/ejanalysis: Tools for Environmental Justice (EJ) Analysis

Simulate disparities as risk, pop density, and demographics vary by distance

Description

Creates a simple set of 100 distances and at each distance simulated demographics, risk levels, population density and size, etc. Useful to see how those decay with distance and how the EJ metrics one might use depend on those factors and domain analyzed.

Usage

sim_riskbydistance(
  dist = 1:100,
  ypopdensity.start = 100,
  ypopdensity.end = 50,
  ypopdensity.rate = 0.95,
  ydemog.start = 66,
  ydemog.end = 33,
  ydemog.rate = 0.95,
  yrisk.start = 100,
  yrisk.end = 1,
  yrisk.rate = 0.8,
  silent = FALSE
)

Arguments

dist	Best not to change this. Distances simulated, such as 1 through 100 (that could be kilometers, for example).
ypopdensity.start	population density at closest point to emissions source
ypopdensity.end	at furthest point
ypopdensity.rate	decay rate with distance such as 0.95 for 5 percent drop per 1 of the 100 distance increments
ydemog.start	Demographic group of interest nearby, as percent of pop, 0-100
ydemog.end	at furthest point
ydemog.rate	decay rate with distance such as 0.95 for 5 percent drop per 1 of the 100 distance increments
yrisk.start	Risk metric (e.g., 0 to 100) at nearest point.
yrisk.end	at furthest point
yrisk.rate	decay rate with distance such as 0.95 for 5 percent drop per 1 of the 100 distance increments
silent	whether to print subset of table to console, and suggested plot code

Value

silently returns data.frame of many indicators, at each of the 100 distances

Examples

  x <- sim_riskbydistance()
  plot_3_by_distance(x)
  sim_plotratios(x)

ejanalysis/ejanalysis documentation built on April 2, 2024, 10:12 a.m.