尝试:
unzip("ZMB_adm.zip", exdir="ZBM_adm")
zmb <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM0")
## OGR data source with driver: ESRI Shapefile
## Source: "C:/R_Progs/ZBM_adm", layer: "ZMB_ADM0"
## with 1 features and 2 fields
## Feature type: wkbPolygon with 2 dimensions
该extdir
参数将使 shapefile 在其自己的目录中保持整洁。
的原因ZMB_ADM0
是有多个shapefile:
ZMB_ADM0.SHP
ZMB_ADM1.SHP
ZMB_ADM2.SHP
每个都有自己的层:
INFO: Open of `ZMB_ADM0.SHP'
using driver `ESRI Shapefile' successful.
1: ZMB_ADM0 (Polygon)
INFO: Open of `ZMB_ADM1.SHP'
using driver `ESRI Shapefile' successful.
1: ZMB_ADM1 (Polygon)
INFO: Open of `ZMB_ADM2.SHP'
using driver `ESRI Shapefile' successful.
1: ZMB_ADM2 (Polygon)
您使用哪一个取决于您需要的行政边界级别:
library(ggplot2)
library(grid)
map0 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM0")
map1 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM1")
map2 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM2")
map0@data$id <- rownames(map0@data)
map1@data$id <- rownames(map1@data)
map2@data$id <- rownames(map2@data)
adm_labs0 <- data.frame(id=rownames(map0@data), adm0=map0@data$ADM0)
adm_labs1 <- data.frame(id=rownames(map1@data), adm1=map1@data$ADM1)
adm_labs2 <- data.frame(id=rownames(map2@data), adm2=map2@data$ADM2)
map_0 <- fortify(map0)
map_1 <- fortify(map1)
map_2 <- fortify(map2)
map_0 <- merge(map_0, adm_labs0)
map_1 <- merge(map_1, adm_labs1)
map_2 <- merge(map_2, adm_labs2)
map0 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM0")
map1 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM1")
map2 <- readOGR(dsn = "C:/R_Progs/ZBM_adm", layer="ZMB_ADM2")
map0@data$id <- rownames(map2@data)
map1@data$id <- rownames(map1@data)
map2@data$id <- rownames(map2@data)
adm_labs0 <- data.frame(id=rownames(map0@data), adm0=map0@data$ADM0)
adm_labs1 <- data.frame(id=rownames(map1@data), adm1=map1@data$ADM1)
adm_labs2 <- data.frame(id=rownames(map2@data), adm2=map2@data$ADM2)
map_0 <- fortify(map0)
map_1 <- fortify(map1)
map_2 <- fortify(map2)
map_0 <- merge(map_0, adm_labs0)
map_1 <- merge(map_1, adm_labs1)
map_2 <- merge(map_2, adm_labs2)
g0 <- ggplot(map_0, aes(x=long, y=lat, group=group)) +
geom_polygon(color = "grey50", aes(fill=adm0), size=0.125)+
labs(x="",y="")+ theme_bw() + labs(title="ADM0") +
coord_fixed() + theme(legend.position="none")
g1 <- ggplot(map_1, aes(x=long, y=lat, group=group)) +
geom_polygon(color = "grey50", aes(fill=adm1), size=0.125)+
labs(x="",y="")+ theme_bw() + labs(title="ADM1") +
coord_fixed() + theme(legend.position="none")
g2 <- ggplot(map_2, aes(x=long, y=lat, group=group)) +
geom_polygon(color = "grey50", aes(fill=adm2), size=0.125)+
labs(x="",y="")+ theme_bw() + labs(title="ADM2") +
coord_fixed() + theme(legend.position="none")
grid.arrange(g0, g1, g2, ncol=3)
![d](https://i.stack.imgur.com/zMheX.png)