ita_prepare_covar_hc_access: Prepare covariate: access to healthcare facility

In njhenry/covidemr: Tools for Mapping COVID Excess Mortality

Description

Covariate-specific prep function for the average person's travel time to the nearest healthcare facility (by motor vehicle).

Usage

ita_prepare_covar_hc_access(
  covar_fp,
  model_years,
  location_table,
  pop_raster,
  polys_sf,
  projection
)

Arguments

covar_fp	Filepath to the raw covariate
model_years	Vector of years to consider for modeling
location_table	Location code merge table for Italy
pop_raster	[optional] Population rasterBrick object, with one layer per modeling year. Only used to prepare raster covariates, default NULL.
polys_sf	[optional] Polygon boundaries
projection	[optional] Character vector giving the proj4 CRS definition. Example: "+proj=utm +zone=32 +datum=WGS84 +units=m +no_defs"

Value

A list of two items: - "prepped_covar": data.table containing the prepped covariate - "covar_indices": Vector of identifiers that should be used to merge onto the modeling dataset. The prepared covariate dataset should only include identifier columns and the covariate value, specified by the covariate name

njhenry/covidemr documentation built on Feb. 2, 2022, 2:31 a.m.