Align two consumption-based footprint estimates (for example the Leontief and land-balance methods) by consuming country and item and report their difference. Disagreement is diagnostic: it localises where a method's assumptions matter most.
Value
A tibble with area_code, item_cbs_code, value_a,
value_b, abs_diff and rel_diff (relative to the larger
of the two), ordered by descending abs_diff.
Examples
a <- tibble::tibble(area_code = 1L, item_cbs_code = 10L, value = 30)
b <- tibble::tibble(area_code = 1L, item_cbs_code = 10L, value = 25)
compare_footprint_methods(a, b)
#> # A tibble: 1 × 6
#> area_code item_cbs_code value_a value_b abs_diff rel_diff
#> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 1 10 30 25 5 0.167