# Ghana
geomGhana <- st_read("countries/data/orig_geom/geomGhana.geojson")
# These are marco regions because there are subdivisions, not sure if we'll find a better data set with micro regions. Load Ghana reflects this
geomGhana$macro_code = c("SV","BO", "AF", "BE", "AA", "OT", "WP", "WN", "UW", "UE", "EP", "CP", "AH", "NE", "NP", "TV")
geomGhana <- geomGhana%>%
mutate(country_name = "Ghana")%>%
inner_join(m49, by=c("country_name" = "CountryorArea"))%>%
select(
m49code = M49Code,
iso3 = ISOalpha3Code,
country_name,
macro_code,
macro_name = REGION
)%>%
st_make_valid()%>%
mutate(across(.cols=ends_with("code"),.fns=as.character))
## Unused when run with updateGlobal
# st_write(geomGhana, "countries/data/temp_geom/geomGhana.geojson")
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