## Generate the FAO_land_history data set.
library('readr')
library('dplyr')
library('devtools')
FAO_land_history <- read_csv('data-raw/FAO_Land.csv')
CCI_land_history <- read_csv('data-raw/FAO_CCI_LandCover.csv')
CCI_land_history %>%
dplyr:::rename(GCAM_commodity = Land_Type) %>%
bind_rows(FAO_land_history) ->
Land_history
use_data(Land_history, compress='xz', overwrite=TRUE)
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