Prepare production data for livestock emission calculations.

Bridge between build_primary_production() output and the livestock emission functions. Maps species codes to names, converts area codes to ISO3, extracts milk and meat yields, and optionally expands herds into GLEAM cohorts.

Any extra columns present in the input (e.g., weight, diet_quality, fat_percent) are preserved and flow through to the emission functions automatically.

Usage

prepare_livestock_emissions(data, expand_cohorts = FALSE, system_shares = NULL)

Arguments

data

A tibble from build_primary_production() with columns item_cbs_code, unit, value, and optionally year, area_code, live_anim_code.

expand_cohorts

Logical. If TRUE, distributes herds across GLEAM cohorts and production systems via calculate_cohorts_systems(). Default FALSE.

system_shares

Optional dataframe with custom system shares. Passed to calculate_cohorts_systems().

Value

A tibble with columns species, heads, iso3 (if area_code present), and optionally milk_yield_kg_day, meat_yield_t_head, cohort columns, plus all extra columns from the input.

Examples

tibble::tibble(
  item_cbs_code = 961,
  unit = "heads",
  value = 5000,
  area_code = 79L
) |>
  prepare_livestock_emissions()
#> # A tibble: 1 × 6
#>   item_cbs_code unit  heads area_code species           iso3 
#>           <dbl> <chr> <dbl>     <dbl> <chr>             <chr>
#> 1           961 heads  5000        79 Cattle, non-dairy DEU