Get air pollutant dataSource:
Get air emissions accounts by NACE Rev. 2 activity for environmental impact assessments.
airpol_get( airpol = "GHG", geo = "BE", year = 2020, unit = "THS_T", data_directory = NULL, force_download = TRUE )
Eurostat folder Air emissions accounts by NACE Rev. 2 activity
The code of the air pollutant. Defaults
The country code. The special value
'germany_1995'will return the replication dataset
The year. The average employment will be created for the given year, starting with
2008, when the NACE Rev 2 was introduced in employment statistics.
NULL, if a valid directory, it will try to save the pre-processed data file here with labelling.
FALSEit will use the existing downloaded file in the
data_directoryor the temporary directory, if it exists.
Currently tested only with product x product tables.
The dataset air emissions accounts by NACE Rev. 2 activity [env_ac_ainah_r2] has five dimensions:
The Air pollutant
airpol variables are collected on the emissions of the following pollutants:
carbon dioxide without emissions from biomass (CO2), carbon dioxide from biomass (Biomass CO2),
nitroux oxide (N2O), methane (CH4), perfluorocarbons (PFCs), Hydrofluorocarbons (HFCs),
sulphur hexafluoride (SF6) including nitrogen trifluoride (NF3), nitrogen oxides (NOx),
Non-methane volatile organic compounds, (NMVOC), carbon monoxide (CO),
Particulate matter smaller than 10 micrometre (PM10), Particulate matter smaller than 2,5 micrometre (PM2,5),
Sulphur dioxide (SO2), Ammonia (NH3).
See Reference Metadata in Euro SDMX Metadata Structure (ESMS)
for further details, particularly on the calculation of Global warming potential
ACG and Tropospheric ozone precursors
airpol_get(airpol = "CO2", geo="germany_1995", year = 1995, unit = "THS_T") #> # A tibble: 1 × 9 #> indicator agricul…¹ indus…² const…³ trade…⁴ busin…⁵ other…⁶ final…⁷ outpu…⁸ #> <chr> <int> <int> <int> <int> <int> <int> <int> <int> #> 1 CO2_emission 10448 558327 11194 71269 8792 26990 217137 904158 #> # … with abbreviated variable names ¹agriculture_group, ²industry_group, #> # ³construction, ⁴trade_group, ⁵business_services_group, #> # ⁶other_services_group, ⁷final_consumption_households, ⁸output_bp