使用 R 中的光栅包为特定国家的省份自定义颜色
custom color for provinces in specific country using raster package in R
我正在尝试标记(绿色、红色、蓝色)特定国家/地区的每个省份,如下所示:
library(raster)
library(rgeos)
library(ggplot2)
library(dplyr)
iran <- getData("GADM", country = "Iran", level = 1)
map <- fortify(iran)
map$id <- as.integer(map$id)
dat <- data.frame(id = 1:(length(iran@data$NAME_1)),
state = iran@data$NAME_1,
pr = c(530, -42, 1673, 75, 206, 544, 1490, 118, 75,
40, 105, 191, 111, 810, 609, 425, 418, 550, 40, 425, -54, -50,
16, 18, 133,425, -30, 241,63, 191,100))
dat <- dat %>% mutate(color_province = case_when(pr <= 50 ~ 'green',
pr > 150 ~ 'red',
TRUE ~ 'yellow'))
我想为每个省(使用 'dat' 数据框)设置自定义颜色,如下所示:
> dat
id state pr color_province
1 1 Alborz 530 red
2 2 Ardebil -42 green
3 3 Bushehr 1673 red
4 4 Chahar Mahall and Bakhtiari 75 yellow
5 5 East Azarbaijan 206 red
6 6 Esfahan 544 red
7 7 Fars 1490 red
8 8 Gilan 118 yellow
9 9 Golestan 75 yellow
10 10 Hamadan 40 green
11 11 Hormozgan 105 yellow
12 12 Ilam 191 red
13 13 Kerman 111 yellow
14 14 Kermanshah 810 red
15 15 Khuzestan 609 red
16 16 Kohgiluyeh and Buyer Ahmad 425 red
17 17 Kordestan 418 red
18 18 Lorestan 550 red
19 19 Markazi 40 green
20 20 Mazandaran 425 red
21 21 North Khorasan -54 green
22 22 Qazvin -50 green
23 23 Qom 16 green
24 24 Razavi Khorasan 18 green
25 25 Semnan 133 yellow
26 26 Sistan and Baluchestan 425 red
27 27 South Khorasan -30 green
28 28 Tehran 241 red
29 29 West Azarbaijan 63 yellow
30 30 Yazd 191 red
31 31 Zanjan 100 yellow
例如'Ardebil'省是绿色,'Zanjan'省是黄色。我使用 'Fill' 参数来设置自定义颜色,这是我的尝试:
map_df <- inner_join(map, dat, by = "id")
centers <- data.frame(gCentroid(iran, byid = TRUE))
centers$state <- dat$state
ggplot() +
geom_map(data = map_df, map = map_df,
aes(map_id = id, group = group,
x = long, y = lat,
fill = as.factor(color_province))) +
geom_text(data = centers, aes(label = state, x = x, y = y), size = 3) +
coord_map() +
labs(x = "", y = "", title = "Iran Province") +
scale_fill_manual(values = list(yellow = 'yellow', red = 'red', green = 'green'))
但是不行。根据 'dat' 数据框 'Ardebil' 是 'green' 但它在地图上是红色的。有更好的方法吗?
既然你问了我,我就快速浏览了一下你的代码。您对 id
的假设基本上是错误的。当您使用 fortify()
时,您可能认为 id
是按正常顺序分配的(例如,1 到 n)。但事实并非如此。只是 运行 unique(mymap$id)
。你会明白我的意思。那么解决方案是什么?当您创建 dat
时,您需要 rownames(iran@data)
。完成后,您应该没问题。查看最终图形。
library(raster)
library(rgeos)
library(ggplot2)
library(dplyr)
iran <- getData("GADM", country = "Iran", level = 1)
mymap <- fortify(iran) # This is the hidden cause
mymap$id <- as.integer(mymap$id)
dat <- data.frame(id = rownames(iran@data), # This is what you needed.
state = iran@data$NAME_1,
pr = c(530,-42,1673,75,206,544,1490,118,75,
40,105,191,111,810, 609,425,418,550, 40, 425, -54,-50,
16, 18, 133,425, -30, 241,63, 191,100)) %>%
mutate(color_province = case_when(pr <= 50 ~ 'green',
pr > 150 ~ 'red',
TRUE ~ 'yellow'))
mydf <- inner_join(mymap, dat, by = "id")
centers <- data.frame(gCentroid(iran, byid = TRUE))
centers$state <- dat$state
ggplot() +
geom_map(data = mydf,
map = mydf,
aes(map_id = id, group = group,
x = long, y = lat,
fill = as.factor(color_province))) +
geom_text(data = centers,
aes(label = state, x = x, y = y), size = 3) +
coord_map() +
labs(x = "", y = "", title = "Iran Province") +
scale_fill_manual(values = c("green", "red", "yellow"),
name = "Province")
我正在尝试标记(绿色、红色、蓝色)特定国家/地区的每个省份,如下所示:
library(raster)
library(rgeos)
library(ggplot2)
library(dplyr)
iran <- getData("GADM", country = "Iran", level = 1)
map <- fortify(iran)
map$id <- as.integer(map$id)
dat <- data.frame(id = 1:(length(iran@data$NAME_1)),
state = iran@data$NAME_1,
pr = c(530, -42, 1673, 75, 206, 544, 1490, 118, 75,
40, 105, 191, 111, 810, 609, 425, 418, 550, 40, 425, -54, -50,
16, 18, 133,425, -30, 241,63, 191,100))
dat <- dat %>% mutate(color_province = case_when(pr <= 50 ~ 'green',
pr > 150 ~ 'red',
TRUE ~ 'yellow'))
我想为每个省(使用 'dat' 数据框)设置自定义颜色,如下所示:
> dat
id state pr color_province
1 1 Alborz 530 red
2 2 Ardebil -42 green
3 3 Bushehr 1673 red
4 4 Chahar Mahall and Bakhtiari 75 yellow
5 5 East Azarbaijan 206 red
6 6 Esfahan 544 red
7 7 Fars 1490 red
8 8 Gilan 118 yellow
9 9 Golestan 75 yellow
10 10 Hamadan 40 green
11 11 Hormozgan 105 yellow
12 12 Ilam 191 red
13 13 Kerman 111 yellow
14 14 Kermanshah 810 red
15 15 Khuzestan 609 red
16 16 Kohgiluyeh and Buyer Ahmad 425 red
17 17 Kordestan 418 red
18 18 Lorestan 550 red
19 19 Markazi 40 green
20 20 Mazandaran 425 red
21 21 North Khorasan -54 green
22 22 Qazvin -50 green
23 23 Qom 16 green
24 24 Razavi Khorasan 18 green
25 25 Semnan 133 yellow
26 26 Sistan and Baluchestan 425 red
27 27 South Khorasan -30 green
28 28 Tehran 241 red
29 29 West Azarbaijan 63 yellow
30 30 Yazd 191 red
31 31 Zanjan 100 yellow
例如'Ardebil'省是绿色,'Zanjan'省是黄色。我使用 'Fill' 参数来设置自定义颜色,这是我的尝试:
map_df <- inner_join(map, dat, by = "id")
centers <- data.frame(gCentroid(iran, byid = TRUE))
centers$state <- dat$state
ggplot() +
geom_map(data = map_df, map = map_df,
aes(map_id = id, group = group,
x = long, y = lat,
fill = as.factor(color_province))) +
geom_text(data = centers, aes(label = state, x = x, y = y), size = 3) +
coord_map() +
labs(x = "", y = "", title = "Iran Province") +
scale_fill_manual(values = list(yellow = 'yellow', red = 'red', green = 'green'))
但是不行。根据 'dat' 数据框 'Ardebil' 是 'green' 但它在地图上是红色的。有更好的方法吗?
既然你问了我,我就快速浏览了一下你的代码。您对 id
的假设基本上是错误的。当您使用 fortify()
时,您可能认为 id
是按正常顺序分配的(例如,1 到 n)。但事实并非如此。只是 运行 unique(mymap$id)
。你会明白我的意思。那么解决方案是什么?当您创建 dat
时,您需要 rownames(iran@data)
。完成后,您应该没问题。查看最终图形。
library(raster)
library(rgeos)
library(ggplot2)
library(dplyr)
iran <- getData("GADM", country = "Iran", level = 1)
mymap <- fortify(iran) # This is the hidden cause
mymap$id <- as.integer(mymap$id)
dat <- data.frame(id = rownames(iran@data), # This is what you needed.
state = iran@data$NAME_1,
pr = c(530,-42,1673,75,206,544,1490,118,75,
40,105,191,111,810, 609,425,418,550, 40, 425, -54,-50,
16, 18, 133,425, -30, 241,63, 191,100)) %>%
mutate(color_province = case_when(pr <= 50 ~ 'green',
pr > 150 ~ 'red',
TRUE ~ 'yellow'))
mydf <- inner_join(mymap, dat, by = "id")
centers <- data.frame(gCentroid(iran, byid = TRUE))
centers$state <- dat$state
ggplot() +
geom_map(data = mydf,
map = mydf,
aes(map_id = id, group = group,
x = long, y = lat,
fill = as.factor(color_province))) +
geom_text(data = centers,
aes(label = state, x = x, y = y), size = 3) +
coord_map() +
labs(x = "", y = "", title = "Iran Province") +
scale_fill_manual(values = c("green", "red", "yellow"),
name = "Province")