The Quick Stats inventory series the subnational spatialization reads,
each mapped to its WHEP species_group or to the set of groups whose sum
it constrains. See admin_source_vocabularies for the columns, the
mapping kinds and the rules encoded here.
Format
A tibble with one row per NASS series and the nine
admin_species_* columns of admin_source_vocabularies.
Source
Eurostat dissemination API
(https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1), dataflows
apro_cpshr, apro_cpnhr_h, apro_mt_ls_r and ef_lsk_poultry; IBGE
SIDRA aggregate metadata
(https://servicodados.ibge.gov.br/api/v3/agregados), tables 5457,
3939 and 94; Ronchetti, G. et al. (2024). Harmonized European Union
subnational crop statistics reveal climate impacts and crop cultivation
shifts. Earth System Science Data, 16, 1623-1649.
doi:10.5194/essd-16-1623-2024
; USDA National Agricultural Statistics
Service, Quick Stats bulk downloads
(https://www.nass.usda.gov/datasets/).
Examples
head(admin_species_nass)
#> # A tibble: 4 × 9
#> source source_table class_key source_class_code source_class_name
#> <chr> <chr> <chr> <chr> <chr>
#> 1 USDA_NASS qs.animals_products CATTLE, INC… NA CATTLE, INCL CAL…
#> 2 USDA_NASS qs.animals_products CATTLE, COW… NA CATTLE, COWS, MI…
#> 3 USDA_NASS qs.animals_products HOGS - INVE… NA HOGS - INVENTORY
#> 4 USDA_NASS qs.animals_products SHEEP, INCL… NA SHEEP, INCL LAMB…
#> # ℹ 4 more variables: species_group <chr>, constrains <chr>,
#> # mapping_kind <chr>, mapping_reason <chr>