map.R

library(ggtext)
library(rlang)
library(Hmisc)

map_data_use <- caprir::map_data %>%
  filter(!grepl("TR.*", CAPRI_NUTS_ID)) %>% # TR: Tuerkiye
  filter(!grepl("UK.*", CAPRI_NUTS_ID))  %>%# UK:
  filter(!grepl("PT20.*", CAPRI_NUTS_ID)) %>% # PT20/PT30
  filter(!grepl("PT30.*", CAPRI_NUTS_ID)) %>%# PT20/PT30
  filter(!grepl("ES70.*", CAPRI_NUTS_ID))  # ES70

setwd("D:/public/yang/CAPRIR_Project/capriv")

file1 <- "res_2_1230cap_after_2014_refdefaultA" # refdefautA
file2 <- "res_2_1230fta_import_bandefaultA" # bandefaultA
gamsPath <- "D://gams//win64//24.9"
igdx(gamsPath)


# CERE RAPE SOYA PULS
prod1 = c("CERE","RAPE","SOYA","PULS")

# MAIF OFAR GRAI GRAE
prod2 = c("MAIF", "OFAR","GRAI","GRAE")

prods = c(prod1,prod2)

gdx.dir <- paste0(getwd(), "/inst/extdata/gdx")
# products %>% filter(key %in% prod_list)
outdata.dir <- paste0(getwd(), "/inst/outdata")

# load baseline
benchmark <- capri_data(filename = paste0(gdx.dir,"/",file1),
                          selregion = "all",
                          seldim5 = "",
                          selcols = prods,
                          selrows = "LEVL" ,
                          simyear = "2030",
                          scenarioname = "benchmark")
# load scenario
scenario <- capri_data(filename = paste0(gdx.dir,"/",file2),
                         selregion = "all",
                         seldim5 = "",
                         selcols = prods,
                         selrows = "LEVL" ,
                         simyear = "2030",
                         scenarioname = "scenario")
# prod 1, percent change
p1 <- map_capri(baseline = benchmark, scenario = scenario, prods = prod1, comparison = TRUE, percent_change = TRUE, 11)
# prod 2, percent change
p2 <- map_capri(baseline = benchmark, scenario = scenario, prods = prod2, comparison = TRUE, percent_change = TRUE, 11)

ggsave(paste0( outdata.dir,"/png/cereals.png"), plot = p1,width = 16, height = 9, dpi = 100)
ggsave(paste0( outdata.dir,"/png/MAIF.png"), plot = p2,width = 16, height = 9, dpi = 100)