trans_standardize: Standardize transportation query dataframes

Description Usage Arguments Details

Description

Convert the GCAM representation using a hodgepodge of sectors, subsectors, and technologies into the standard transportation taxonomy of service, mode, submode, fuel, and vintage.

Usage

1
trans_standardize(queryData)

Arguments

queryData

Data returned for one variable query

Details

Columns removed (no mapping): rundate, load-factor Columns removed (after mapping) : sector, subsector Technologies removed: adv-electric, adv-liquid, tech-adv-electric, and tech-adv-liquid (only appears in load factors) Columns aggregated over : technology, vintage – include in dplyr::group_by() if needed later

Final, standardized set of columns : Units, scenario, region, year, service, mode, submode, fuel, liquid_type If this set changes, need to adjust call to group_by() below All other cols are either dropped or aggregated over


JGCRI/iamrpt documentation built on June 30, 2019, 3:19 a.m.