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Flag positives data from identified consequential geographies

flag_cg_positives.Rd

Obtains positive detections and determines whether they are part of the consequential geographies or not. If they are, then they are flagged in the column in_cg as TRUE.

Usage

flag_cg_positives(cg_super_regions, pos, start_year = 2016)

Arguments

cg_super_regions

sf Spatial object of all CG super regions and a flag for all their specific GUIDs. This is the output of create_cg_super_regions().

pos

tibble The positives file from the output of get_all_polio_data().

start_year

int The the earliest year for analysis. Defaults to 2016.

Value

sf All CG related positives flagged and ready for mapping with a point geography.

Examples

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