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Create the consequential geography expansion map

create_cg_expansion_map.Rd

Creates a map of consequential geographies.

Usage

create_cg_expansion_map(polio_data, cg)

Arguments

polio_data

list Output of get_all_polio_data() with attach.spatial.data = TRUE.

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.

Value

ggplot CG expansion map.

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_expansion_map(polio_data, cg)
} # }