參考你原來的問題https://stackoverflow.com/questions/20936263/use-ggplot2-to-plot-cities-on-a-map
# data
cities <- sort(c(rep('Stockholm', 3), 'Oslo', 'Rome', 'Rome', 'Paris', rep('Bonn',10), 'Paris', 'Paris', 'Stockholm'))
# get frequencies
freq <- as.data.frame(table(cities))
library(plotrix)
freq$Freq <- rescale(freq$Freq, c(1,10)) # c(scale_min, scale_max)
# get cities latitude/longitude - kindly provided by google:
library(ggmap)
lonlat <- geocode(unique(cities))
cities <- cbind(freq, lonlat)
# get matches between names {maps} names and EU country names
library(maps)
eu <- c("Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czech Republic",
"Denmark", "Estonia", "Finland", "France", "Germany", "Greece",
"Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg",
"Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia",
"Slovenia", "Spain", "Sweden", "United Kingdom")
warning("No matches in database for ", paste(setdiff(eu, map_data('world')$region), collapse=", "))
europe <- map_data('world', region=eu)
# plot
library(ggplot2)
ggplot(europe, aes(x=long, y=lat, group=group)) +
geom_polygon(fill="white", colour="black") +
xlim(-20, 40) + ylim(25,75) +
geom_point(data=cities, inherit.aes=F, aes(x=lon, y=lat, size=Freq), colour="red", alpha=.8) +
geom_text(data=cities, inherit.aes=F, aes(x=lon, y=lat, label=cities), vjust=1, colour="red", alpha=.5)
我不會downvote你,但你真的在問這裏之前,首先需要做一些研究。向我們展示您的數據是一個好的開始。你有什麼特別的嘗試?你有沒有搜索引擎任何這個?例如*「R在地理定位城市」*。 –
Here you go ... http://www.r-chart.com/2010/07/maps-geocoding-and-r-user-conference.html –