Documents every POLIS-vs-WorldPop reconciliation issue clean_pop() found and
how each was resolved, as a checks_* result ready for write_checks_excel().
Unlike the other checks_*() functions it takes the whole clean_pop()
list (it reads $adm2 and the $meta audit), not a single table.
Usage
checks_pop(pop, reference_date = Sys.Date())Arguments
- pop
The list returned by
clean_pop()($adm0/$adm1/$adm2/$meta).- reference_date
Unused; accepted for a uniform
checks_*()signature.
Value
A named list: summary (one row per issue with check, domain,
severity, n_flagged, description) followed by the detail tables
(conflicting_dups, age_violations, orphan_guids, ratio_outliers,
coverage_by_country, overrides, source_mix). Pass it to
write_checks_excel().
Examples
pop_raw <- data.frame(
PlaceId = "g-1", PlaceDisplayName = "X", Year = 2020,
AgeGroupName = "0 to 15 years", Value = 1000, check.names = FALSE
)
checks_pop(clean_pop(pop_raw, years = 2020, verbose = FALSE))$summary
#> # A tibble: 5 × 5
#> check domain severity n_flagged description
#> <chr> <chr> <chr> <int> <chr>
#> 1 conflicting_dups population warning 0 POLIS place-years with >1 dist…
#> 2 age_violations population warning 0 District-years where u5 <= u15…
#> 3 orphan_guids population warning 0 POLIS guids absent from the sh…
#> 4 ratio_outliers population info 0 POLIS values implausible vs Wo…
#> 5 overrides population info 0 Cells where a present POLIS va…