r - 如何使用 R ggplot 覆盖两个地图
问题描述
我正在尝试使用以下代码按地区绘制一种类型的曝光率图。我不需要按州绘制的任何内容,而是想显示下面定义的每个部门的费率。第一张地图就是我想要的区域。这似乎工作正常。但是当我尝试叠加汇率时,我在地图中得到了疯狂的形状。地图效果很好,但是当我叠加费率时,它根本不起作用。有没有人有任何建议来解决这个问题?
library(ggplot2)
library(ggmap)
library(maps)
library(mapdata)
library(maptools)
if (require("maps")) {
states <- map_data("state")}
us_state_map = map_data("state")
colnames(state_shape)
#map each state to a division
us_state_map$division[us_state_map$region %in% c("connecticut", "maine", "massachusetts", "new hampshire", "rhode island", "vermont")] <- "1"
us_state_map$division[us_state_map$region %in% c("district of columbia", "maryland", "new jersey","pennsylvania","west virginia" ,"delaware")] <- "2"
us_state_map$division[us_state_map$region %in% c("alabama","florida","georgia","arkansas","louisiana", "mississippi")] <- "3"
us_state_map$division[us_state_map$region %in% c("oklahoma","texas")] <- "4"
us_state_map$division[us_state_map$region %in% c("arizona","california","utah", "new mexico", "nevada")] <- "5"
us_state_map$division[us_state_map$region %in% c("alaska","idaho","oregon","washington","montana","hawaii")] <- "6"
us_state_map$division[us_state_map$region %in% c("illinois","north dakota","minnesota","south dakota","wisconsin")] <- "7"
us_state_map$division[us_state_map$region %in% c("colorado","iowa","kansas","missouri","nebraska", "wyoming" )] <- "8"
us_state_map$division[us_state_map$region %in% c("new york")] <- "9"
us_state_map$division[us_state_map$region %in% c("indiana", "michigan", "ohio")] <- "10"
us_state_map$division[us_state_map$region %in% c("north carolina","south carolina","tennessee", "kentucky", "virginia")] <- "11"
map <- ggplot()
map = map + geom_polygon(data=us_state_map, aes(x=long, y=lat, group=group, fill=division))
map
map <- ggplot()
map = map + geom_polygon(data=us_state_map.mod, aes(x=long, y=lat, group=group, fill=division))
map
map2<- map +
geom_polygon(data = regions_after, aes(x=long, y=lat, group=group, fill = percent_virtual)) +
geom_polygon(color = "black", fill = NA) + # get the state border back on top
theme_bw() +scale_fill_continuous(low="blue", high="red")+
ditch_the_axes
map2
after reading both comments, i think this is an appropriate sample: zz <-"division total percent_virtual long lat group region 1 1836 7.5163399 -70.22171 43.59063 18 maine 1 1836 7.5163399 -71.84318 41.34464 46 rhode island 1 1836 7.5163399 -70.6457 41.94624 21 massachusetts 1 1836 7.5163399 -72.20988 41.2988 6 connecticut 1 1836 7.5163399 -73.36152 45.01157 52 vermont 1 1836 7.5163399 -72.50208 42.9661 31 new hampshire 2 6451 1.7516664 -76.55862 38.42828 19 maryland 2 6451 1.7516664 -79.06245 42.00354 45 pennsylvania 2 6451 1.7516664 -74.72516 41.36755 32 new jersey
解决方案
有点复杂的代码。这里简化了。请注意,并非所有包库调用都是相关的。只需在同一个geom_polygon
调用中添加颜色(黑色)。为您的州分配不同的部门名称可能有更好的方法。
library(ggplot2)
library(mapdata)
#> Loading required package: maps
us_state_map = map_data("state")
#map each state to a division
us_state_map$division[us_state_map$region %in% c("connecticut", "maine", "massachusetts", "new hampshire", "rhode island", "vermont")] <- "1"
us_state_map$division[us_state_map$region %in% c("district of columbia", "maryland", "new jersey","pennsylvania","west virginia" ,"delaware")] <- "2"
us_state_map$division[us_state_map$region %in% c("alabama","florida","georgia","arkansas","louisiana", "mississippi")] <- "3"
us_state_map$division[us_state_map$region %in% c("oklahoma","texas")] <- "4"
us_state_map$division[us_state_map$region %in% c("arizona","california","utah", "new mexico", "nevada")] <- "5"
us_state_map$division[us_state_map$region %in% c("alaska","idaho","oregon","washington","montana","hawaii")] <- "6"
us_state_map$division[us_state_map$region %in% c("illinois","north dakota","minnesota","south dakota","wisconsin")] <- "7"
us_state_map$division[us_state_map$region %in% c("colorado","iowa","kansas","missouri","nebraska", "wyoming" )] <- "8"
us_state_map$division[us_state_map$region %in% c("new york")] <- "9"
us_state_map$division[us_state_map$region %in% c("indiana", "michigan", "ohio")] <- "10"
us_state_map$division[us_state_map$region %in% c("north carolina","south carolina","tennessee", "kentucky", "virginia")] <- "11"
ggplot() +
geom_polygon(data=us_state_map, aes(x=long, y=lat, group=group, fill=division), color = 'black')
由reprex 包于 2020-03-16 创建(v0.3.0)
现在你想用 来可视化另一个维度fill
,只是覆盖?这很困难——我们在这里处理的是二维纸。考虑改变审美。例如,为您的分区使用颜色,然后您可以为您的百分比值使用填充。使用具有相同区域多边形 (!!!) 的相同数据框来分配这些值非常重要。
library(tidyverse)
us_state_map <- us_state_map %>% mutate(percent_virtual = group)
ggplot() +
geom_polygon(data=us_state_map, aes(x=long, y=lat, group=group, color = division, fill = percent_virtual), size = 1.5 )
由reprex 包于 2020-03-16 创建(v0.3.0)
PS我不一定觉得上面的剧情解法很好,只是为了展示不同维度不同审美的运用。
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