虽然只读取.shp 文件，.shx 和 .dbf文件也必须在同一个文件目录下才能读取成功。
library(maptools)
library(ggplot2)
library(plyr)
str.crs <- "+proj=longlat +ellps=clrk66"
china_map <- readShapePoly("bou2_4p.shp",proj4string=CRS(str.crs))
x <- china_map@data #读取行政信息
xs <- data.frame(x,id=seq(0:924)-1) #含岛屿共925个形状
china_map1 <- fortify(china_map) #转化为数据框
china_map_data <- join(china_map1, xs, type = "full") #合并两个数据框
p <- ggplot(china_map_data, aes(x = long, y = lat))
p <- p +
theme(
panel.grid = element_blank(),
panel.background = element_blank(),
axis.text = element_blank(),
axis.ticks = element_blank(),
axis.title = element_blank(),
legend.position = "none"
)
边线设置为灰色，每个省级地区用白色填充
p + geom_polygon(aes(group=group), fill= "white", colour="grey60")
边线设置为灰色，每个省级地区用不同颜色填充
p1 <- p + geom_polygon(aes(group = group,fill=NAME),colour="grey60")
p1
添加省会级城市
capital <- readShapePoints("res1_4m.shp", proj4string = CRS(str.crs))
cap.name <- iconv(capital@data$NAME, "gbk", "utf8")
cap.coords <- coordinates(capital)
n <- length(cap.name)
pos <- rep(4, times = n)
spec.name <- c("呼和浩特", "成都", "西宁", "太原", "合肥"
, "武汉","长沙", "银川", "南宁", "澳门")
pos[cap.name %in% spec.name] <- 2
spec.name <- c("北京", "南京", "上海", "广州")
pos[cap.name %in% spec.name] <- 3
cap_map_data <- data.frame(name=cap.name,
long=as.data.frame(cap.coords)$coords.x1,
lat=as.data.frame(cap.coords)$coords.x2,
pos=pos)
p1 + geom_text(data=cap_map_data, aes(x=long, y= lat, label=name),family='STKaiti')
添加省会级城市的坐标（白色空心圆圈）
p1 +
geom_point(data=cap_map_data,aes(x=long, y= lat),shape=1,colour="white") +
geom_text(data=cap_map_data,aes(x=long, y= lat,label=name),family='STKaiti')
使用ggrepel解决名字重叠问题
library(ggrepel)
p1 + geom_text_repel(data=cap_map_data,aes(x=long, y= lat,label=name),family='STKaiti')
只使用ggrepel解决香港和澳门名字重叠问题，其它城市给出名字和坐标
spec.city <- c("香港","澳门")
cap_map_data1 <- cap_map_data[cap_map_data$name %in% spec.city,]
cap_map_data2 <- cap_map_data[!cap_map_data$name %in% spec.city,]
p1 + geom_point(data=cap_map_data2,aes(x=long, y= lat),shape=1,colour="white") +
geom_text(data=cap_map_data2,aes(x=long, y= lat,label=name),family='STKaiti')+
geom_text_repel(data=cap_map_data1,aes(x=long, y= lat,label=name),family='STKaiti')
sessionInfo()
R version 3.2.3 (2015-12-10)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.2 (El Capitan)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggrepel_0.4 plyr_1.8.3 ggplot2_2.0.0 maptools_0.8-37
[5] sp_1.2-1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.3 lattice_0.20-33 digest_0.6.9 grid_3.2.3
[5] gtable_0.1.2 formatR_1.2.1 magrittr_1.5 scales_0.3.0
[9] evaluate_0.8 stringi_1.0-1 rmarkdown_0.9.2 labeling_0.3
[13] tools_3.2.3 stringr_1.0.0 foreign_0.8-66 munsell_0.4.2
[17] yaml_2.1.13 colorspace_1.2-6 htmltools_0.3 knitr_1.12