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copied!<p>Just to demonstrate that a simpler example seems to work...</p> <p><img src="https://i.stack.imgur.com/cRWp6.png" alt="new jersey"></p> <pre><code>library(ggplot2) library(scales) library(maps) csv.file <- "http://www.census.gov/popest/data/maps/2011/maps-county2011.csv" mydf <- read.csv(csv.file, skip = 4, header = TRUE, check.names = FALSE) mydf <- mydf[, c(1, 2, 5, 10, 11)] # we can drop most columns colnames(mydf) <- c("code", "subregion", "population", "density", "area") mydf$population <- as.numeric(gsub(",", "", mydf$population)) # remove commas mydf$area <- as.numeric(gsub(",", "", mydf$area)) # remove commas nj.pop <- mydf[substr(mydf$code, 1, 3) == '340', ] # new jersey code is 34000 nj.pop <- nj.pop[2:nrow(nj.pop), ] # drop first row i.e. new jersey state itself nj.pop$subregion <- tolower(gsub(" County", "", nj.pop$subregion)) nj.pop$subregion <- gsub("\\.", "", nj.pop$subregion) nj.pop$density_d <- cut(nj.pop$density, breaks = c(0,30,100,300,500,1000,3000,5000,100000), dig.lab = 6, include.lowest = TRUE) nj.pop nj.shp <- map_data("county") # grab... nj.shp <- nj.shp[nj.shp$region == 'new jersey', ] # ...and subset identical(unique(nj.shp2$subregion), unique(nj.pop$subregion)) # should be TRUE nj.both <- merge(nj.pop, nj.shp2, by = "subregion") p <- ggplot(nj.both, aes(long, lat, group = group)) + geom_polygon(aes(fill = density_d), colour = alpha("white", 1/2), size = 0.2) + scale_fill_brewer(palette = "PuRd") + coord_equal() print(p) </code></pre>

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