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Historical human-population nitrogen applied to agriculture.

Source: R/datasets_balances.R
human_n_reference.Rd

National-total nitrogen from a population's municipal solid waste, sewage sludge and human excreta actually applied to agricultural land, at benchmark years: the Spanish series taken as reference. It calibrates the per-capita rates human_kgn_cap_total_reference and human_kgn_cap_reference that build_human_n() applies everywhere, as a documented placeholder (see that function's Details) rather than a globally calibrated estimate.

urban_n_reference is the deprecated former name of this table, kept for one release. It holds the same rows, with human_n_gg under its former name urban_n_gg.

Usage

human_n_reference

urban_n_reference

Format

A tibble with columns:

area_code

Numeric FAOSTAT area code, as everywhere else in this package; currently a single national series. The vendored CSV records an ISO3 string and it is resolved to a code through polity_area_crosswalk at build time, so this series joins to area-keyed tables without a hand conversion. It held the string itself until 0.3.0.9000, which made it the one column named area_code in this package that was not one (whep#401). Keep using it to join; it is an aggregation key, not the territory's identity.

polity_code

The polity the row's territory IS: the identifier every place in WHEP that names a territory is meant to carry (whep#458). Resolved at build time against the polity active in that benchmark year, so a series spanning a succession would carry more than one code. Added alongside area_code rather than replacing it (whep#495), so callers keying on the numeric are unaffected.

year

Benchmark calendar year.

human_n_gg

National-total human-population nitrogen applied to agriculture (Gg N/year).

Source

Aguilera, E. (WHEP project team). Own estimation from unpublished project data (no public DOI): workbook Urban_waste.xlsx, sheet UrbanN, and its update UrbanN_update.csv.

Examples

human_n_reference
#> # A tibble: 10 × 4
#>    area_code polity_code    year human_n_gg
#>        <int> <chr>         <dbl>      <dbl>
#>  1       203 ESP-1800-2025  1860       6.97
#>  2       203 ESP-1800-2025  1900       8.04
#>  3       203 ESP-1800-2025  1950      12.1 
#>  4       203 ESP-1800-2025  1990      16.8 
#>  5       203 ESP-1800-2025  2000      28.9 
#>  6       203 ESP-1800-2025  2008      43.0 
#>  7       203 ESP-1800-2025  2016      50.0 
#>  8       203 ESP-1800-2025  2018      54.8 
#>  9       203 ESP-1800-2025  2020      51.4 
#> 10       203 ESP-1800-2025  2022      61.3