您可以使用该raster
包直接导入GADM数据.然后,您可以使用ggplot2绘制地图.下载数据时,可以指定不同的级别.根据这一点,你会看到不同的界限.
library(raster)
library(ggplot2)
### Get data
iran<- getData("GADM", country = "Iran", level = 2)
### SPDF to DF
map <- fortify(iran)
### Draw a map
ggplot() +
geom_map(data = map, map = map, aes(x = long, y = lat, map_id = id, group = group))
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编辑
看到Andy的回答,我想展示如何添加省名ggplot2
.这是我从@hrbrmstr学到的东西.该rworldmap
软件包允许您输入更少.该ggplot2
软件包仍然提供非常漂亮的图形.
library(raster)
library(rgdal)
library(rgeos)
library(ggplot2)
library(dplyr)
### Get data
iran<- getData("GADM", country = "Iran", level = 1)
### SPDF to DF
map <- fortify(iran)
map$id <- as.integer(map$id)
dat <- data.frame(id = 1:(length(iran@data$NAME_1)), state = iran@data$NAME_1)
map_df <- inner_join(map, dat, by = "id")
# Find a center point for each province
centers <- data.frame(gCentroid(iran, byid = TRUE))
centers$state <- dat$state
### This is hrbrmstr's own function
theme_map <- function (base_size = 12, base_family = "") {
theme_gray(base_size = base_size, base_family = base_family) %+replace%
theme(
axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.ticks.length=unit(0.3, "lines"),
axis.ticks.margin=unit(0.5, "lines"),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
legend.background=element_rect(fill="white", colour=NA),
legend.key=element_rect(colour="white"),
legend.key.size=unit(1.5, "lines"),
legend.position="right",
legend.text=element_text(size=rel(1.2)),
legend.title=element_text(size=rel(1.4), face="bold", hjust=0),
panel.background=element_blank(),
panel.border=element_blank(),
panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
panel.margin=unit(0, "lines"),
plot.background=element_blank(),
plot.margin=unit(c(1, 1, 0.5, 0.5), "lines"),
plot.title=element_text(size=rel(1.8), face="bold", hjust=0.5),
strip.background=element_rect(fill="grey90", colour="grey50"),
strip.text.x=element_text(size=rel(0.8)),
strip.text.y=element_text(size=rel(0.8), angle=-90)
)
}
ggplot() +
geom_map(data = map_df, map = map_df,
aes(map_id = id, x = long, y = lat, group = group),
color = "#ffffff", fill = "#bbbbbb", size = 0.25) +
geom_text(data = centers, aes(label = state, x = x, y = y), size = 3) +
coord_map() +
labs(x = "", y = "", title = "Iran Province") +
theme_map()
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你可以结合rworldmap
使用@jazzurro的伟大建议raster
来获得GADM边界.
我怀疑你的主要困难可能是让你的数据和地图之间的省名匹配.
下面的示例使用您可以更改的默认值,并为每个省份提供不同的颜色.
library(raster)
library(rworldmap)
## 1 Get map of provinces (level 1 admin regions)
iranLevel1<- raster::getData("GADM", country = "Iran", level = 1)
## 2 join your [data] onto the map by specifying the join column in each
## this will report on any mis-matches between province names
#iranLevel1 <- rworldmap::joinData2Map([data],nameMap="iranLevel1",nameJoinIDMap="NAME_1",nameJoinColumnData=[insert])
## 3 plot map (change NAME_1 to the data you want to plot)
rworldmap::mapPolys(iranLevel1, nameColumnToPlot="NAME_1", addLegend=FALSE)
## 4 add text labels for provinces
text(iranLevel1, label="NAME_1", cex=0.7)
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请注意joinData2Map()
,mapPolys()
是更通用的等价物joinCountryData2Map()
,mapCountryData()
.
另一种方法是使用choroplethr
包.