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###############################################################
#### El Salvador - Land Reform - Map of Cantons and Reform ####
###############################################################
rm(list = ls()) # Clear variables
require(foreign)
require(ggplot2)
require(rgdal)
require(rgeos)
require(RColorBrewer) # creates nice color schemes
require(plyr) # join function
require(dplyr)
require(raster) # raster tools
require(tidyr)
require(readstata13)
require(haven)
require(exactextractr) # faster extract
require(sf) # faster extract
require(elevatr) # elevation data
require(rdrobust)
require(stringdist)
############## LOAD DATA ################
## Read in Data:
prop_data <- read.dta(file="./Data/prop_data.dta") %>% filter(reform==1, !is.na(CODIGO))
cantons <- st_read("./Data/cantons_wCodigos.shp")
# Set aesthetics:
aesthetics <- list(#guides(color=guide_colorbar(reverse=FALSE)),
#guides(fill=FALSE),
#guides(shape=FALSE),
#guides(size=FALSE),
theme_bw(),
theme(
text=element_text(family="Palatino"),
#legend.title=element_blank(),
#legend.justification=c(0,0),
#legend.position= "right", #c(1,0),
panel.border = element_blank(),
panel.grid.minor=element_blank(),
panel.grid.major=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
axis.text=element_blank(),
axis.ticks=element_blank()))
#######################################
## MAP CANTONS THAT EXPERIENCED REFORM:
#######################################
cantons$LR <- cantons$CODIGO %in% prop_data$CODIGO
cantons$LR <- ifelse(is.na(cantons$CODIGO),FALSE,cantons$LR)
cantons_simple <- st_simplify(cantons, dTolerance=0.001, preserveTopology = TRUE)
ggplot() + geom_sf(data=cantons_simple, aes(fill=factor(LR)),size=0.1) +
aesthetics +
scale_fill_manual(name="Experienced \nLand Reform",values=c("#132B43","#56B1F7"), guide = guide_legend(reverse=TRUE), labels = c("No","Yes"))
ggsave("./Output/ESLR_ReformCantons.pdf", height=7, width=7)
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