Smootheed_Evolution_over_time.Rmd

---
title: "Smootheed Evolution over time"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Smootheed Evolution over time}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  echo=TRUE,
  comment = "#>"
)
```


## Load Packages

```{r message=FALSE, warning=FALSE}
library(tidyverse)
```

## Prepare Data

The map is presented with the [Bertin 1953 projection](https://visionscarto.net/bertin-projection-1953)

```{r}
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) ) 

```

## Generate Plot

```{r ,fig.height=7, fig.width=7, warning=FALSE,  echo = TRUE ,message=FALSE}


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
```