Created
October 14, 2010 01:14
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Narco killings map of Mexico
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#Download the narco killings map compiled by Walter Mckay available | |
#at LEAP Mexico https://sites.google.com/site/policereform/leap-mexico/narco-killings | |
library(rgdal) | |
library(gtools) | |
library(maptools) | |
library(ggplot2) | |
library(maps) | |
library(Cairo) | |
library(stringr) | |
library(MASS) | |
library(gpclib) | |
gpclibPermit() | |
urlMap <- "http://maps.google.com/maps/ms?ie=UTF8&hl=en&source=embed&msa=0&output=kml&msid=101594476481747955479.000486b8afd1e2a371d55" | |
download.file(urlMap, "Narco Killings.kml") | |
narco <- readOGR("Narco Killings.kml","Narco Killings") | |
narco <- (data.frame(narco)) | |
names(narco) <- c("deaths", "Description", "long", "lat", "coords") | |
cleanData <- defmacro(str1, str2, | |
expr = { | |
narco$deaths <- gsub(str1, str2, | |
narco$deaths, | |
ignore.case = TRUE) | |
}) | |
#Clean the data | |
cleanData("un", "1") | |
cleanData("doble", "2") | |
cleanData("seis", "6") | |
cleanData("ex comandante y su esposa", "2") | |
cleanData("Director of corrections murdered", "2") | |
cleanData("[0-9]+ injured", "0") | |
cleanData("[0-9]+ lesionadas", "0") | |
cleanData("Placemark [0-9]+", "0") | |
narco$involved <- "civilians" | |
narco$involved[grep("poli", narco$deaths, ignore.case = TRUE)] <- "police" | |
narco$involved[grep("milit", narco$deaths, ignore.case = TRUE)] <- "military" | |
narco$involved[grep("milit", narco$Description, ignore.case = TRUE)] <- "military" | |
#Add the numbers present in the data | |
x <- sapply(narco$deaths, function(x) strsplit(x, "[a-zA-Z ]")) | |
narco$value <- sapply(x, function(x) sum(as.numeric(x), na.rm = TRUE)) | |
#Fix the narco fosa in Monterrey and the 72 immigrantes | |
narco$involved[which(narco$value == 75)] <- "civilians" | |
narco$involved[which(narco$value == 50)] <- "civilians" | |
narco <- narco[order(narco$value),] | |
write.csv(narco[,c(3,4,7)], "narco.csv", row.names = FALSE) | |
write.csv(narco, "narco-all.csv", row.names = FALSE) | |
narco$date <- as.Date(str_sub(narco$Description, 16, 23), | |
format = "%d-%m-%y") | |
#summary statistics | |
summary(narco$value) | |
qplot(narco$value) | |
ggplot(narco, aes(value, group = involved, fill = involved)) + | |
geom_histogram() | |
ggplot(subset(narco, date > as.Date("2010-05-11")), | |
aes(date, value, group = involved, | |
color = involved)) + | |
geom_point() + | |
scale_x_date() | |
sum(narco$value) | |
#A simple map | |
world.map <- map_data("world") | |
mexico <- subset(world.map, region == "Mexico") | |
#Uncomment if you want to use the INEGI map | |
#mexico <- readOGR("ESTADOS-90.shp", "ESTADOS-90") | |
#Create a ESTADOS-90.prj with the following txt (proj.4): | |
#PROJCS["North_America_Lambert_Conformal_Conic",GEOGCS["ITRF92",DATUM["D_ITRF_1992",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-102.0],PARAMETER["Standard_Parallel_1",17.5],PARAMETER["Standard_Parallel_2",29.5],PARAMETER["Latitude_Of_Origin",12.0],UNIT["Meter",1.0]] | |
#mexico <- spTransform(mexico, CRS("+proj=longlat +ellps=WGS84")) | |
#mexico <- fortify(mexico, region = "CVE_ENT") | |
Cairo("png", file = "mexico-drug-killings.png", | |
width = 800, height = 600 ) | |
ggplot(mexico, aes(long, lat)) + | |
geom_polygon(aes(group = group), fill = "white", | |
color = "gray40", size = .2) + | |
geom_jitter(data = narco, aes(long, lat, size = value, | |
color = involved), | |
alpha = .6) + | |
scale_y_continuous(breaks = NA) + | |
scale_x_continuous(breaks = NA) + xlab("") + ylab("") + | |
opts(panel.background = theme_rect(fill = "white", | |
colour = "white")) + | |
opts(title = "Location of Drug-Related Homicides in Mexico (May-Oct 2010)") + | |
coord_map(projection = "mercator") + | |
scale_size("number\nkilled") | |
dev.off() |
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