knitr::opts_chunk$set( collapse = TRUE, echo=TRUE, comment = "#>" )
library(tidyverse)
The map is presented with the Bertin 1953 projection
thisbureau <- "Americas" lastyear <- max(unhcrdatapackage::end_year_population_totals_long$Year) end_year_population_totals_long.asy <- dplyr::left_join( x= unhcrdatapackage::end_year_population_totals_long, y= unhcrdatapackage::reference, by = c("CountryAsylumCode" = "iso_3")) ooc_central <- end_year_population_totals_long.asy[end_year_population_totals_long.asy$CountryAsylumCode %in% c("GTM", "SLV", "HND", "MEX") & end_year_population_totals_long.asy$Population.type =="OOC" , c("CountryAsylumCode","CountryAsylumName", "Year", "Value") ] %>% group_by(Year, CountryAsylumCode, CountryAsylumName ) %>% summarise(Value = sum(Value) )
ooc_centralplot <- ggplot(ooc_central, aes(x=Year, y=Value, color=CountryAsylumName)) + # linetype=CountryAsylumName)) + stat_smooth(size=1.5, method = "loess", level = 0.95, fullrange = TRUE, se = FALSE) + # scale_color_manual(values=c(IDMC="orange", # UNHCR="sienna" )) + scale_y_continuous( label = scales::label_number_si()) + ## Format axis number geom_hline(yintercept = 0, size = 1.1, colour = "#333333") + unhcRstyle::unhcr_theme(base_size = 8) + ## Insert UNHCR Style theme(#legend.position = "none" panel.grid.major.y = element_line(color = "#cbcbcb"), panel.grid.major.x = element_blank(), panel.grid.minor = element_blank() ) + ## and the chart labels labs(title = "Other of Concern in Central America ", # subtitle = "", x = "", y = "", caption = "Source: UNHCR.org/refugee-statistics & IDMC ") ooc_centralplot
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