ita_prepare_covar_temperature: Prepare covariate: weekly temperature
In njhenry/covidemr: Tools for Mapping COVID Excess Mortality

Description Usage Arguments Value

Covariate-specific prep function for average experienced weekly temperature by province. Note that this function uses cacheing, so if the raw data has been pulled from the API already it will not be re-pulled

ita_prepare_covar_temperature(
  covar_fp,
  model_years,
  location_table,
  pop_raster,
  polys_sf,
  final_obs_week
)

`covar_fp`	Filepath to an API key for Meteostat, which will be used to pull weekly templerature data
`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
`final_obs_week`	ID for the final observed week in 2020, formatted as an integer between 1 and 52 inclusive.

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.