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Create super regions from subsets of consequential geographies

create_cg_super_regions.Rd

Create a shapefile containing super regions of consequential geographies.

Usage

create_cg_super_regions(cg, ctry, prov, dist)

Arguments

cg

tibble Table containing data about existing CGs, the dataset is expected to contain the following headers of the following datatypes:

  • type: str Consequential geographies must have a type of "cg". All other can be NA.

  • label: str Geographic grouping (i.e., "Lake Chad"). Can be a country or a subset of a country (i.e., "Northern Yemen"). This column will be used to group the consequential geographies for creating super regions.

  • ctry: str Name of the country.

  • prov: str Name of the province.

  • dist: str Name of the district.

  • adm_level: str Name of the administrative level. Must be one of NA if at the country level, "adm1" if at the province level, and "adm2 if at the district level.

ctry

sf Country level spatial objects. Can be the global.ctry spatial object attached to the output of get_all_polio_data().

prov

sf Province level spatial objects. Can be the global.prov spatial object attached to the output of get_all_polio_data().

dist

sf District level spatial objects. Can be the global.dist spatial object attached to the output of get_all_polio_data().

Value

sf Single spatial object with all consequential geography super regions.

Details

You can download an example dataset using: sirfunctions_io("read", file_loc = "Data/misc/consequential_geographies.rds").

Examples

if (FALSE) { # \dontrun{
polio_data <- get_all_polio_data()
cg <- sirfunctions_io("read", file_loc = "Data/misc/consequential_geographies.rds")
create_cg_super_regions(cg, ctry = polio_data$global.ctry,
prov = polio_data$global.prov, dist = polio_data$global.dist)
} # }