Как маркировать числа вместо имен с помощью usmap?
Я знаю, что у usmap есть возможность label в plot_usmap(). Вместо названий штатов я хочу обозначить несколько цифр. Я предполагаю, что в usmap должны быть данные, связанные с координатами центроидов состояний, но я не уверен, как их найти. Если я могу получить координаты, я могу пометить числа с помощьюgeom_text().
Вот мои данные.
State Abbrev Code n_votes Attitude fips
1 Alabama Ala. AL 9 Solid Republican 01
2 Alaska Alaska AK 3 Toss-up 02
3 Arizona Ariz. AZ 11 Toss-up 04
4 Arkansas Ark. AR 6 Solid Republican 05
5 California Calif. CA 55 Solid Democrat 06
6 Colorado Colo. CO 9 Leaning to Democrat 08
7 Connecticut Conn. CT 7 Solid Democrat 09
8 Delaware Del. DE 3 Solid Democrat 10
9 District of Columbia D.C. DC 3 Solid Democrat 11
10 Florida Fla. FL 29 Leaning to Democrat 12
11 Georgia Ga. GA 16 Toss-up 13
12 Hawaii Hawaii HI 4 Solid Democrat 15
13 Idaho Idaho ID 4 Solid Republican 16
14 Illinois Ill. IL 20 Solid Democrat 17
15 Indiana Ind. IN 11 Leaning to Republican 18
16 Iowa Iowa IA 6 Leaning to Republican 19
17 Kansas Kans. KS 6 Leaning to Republican 20
18 Kentucky Ky. KY 8 Solid Republican 21
19 Louisiana La. LA 8 Solid Republican 22
20 Maine Maine ME 2 Solid Democrat 23
21 Maryland Md. MD 10 Solid Democrat 24
22 Massachusetts Mass. MA 11 Solid Democrat 25
23 Michigan Mich. MI 16 Leaning to Democrat 26
24 Minnesota Minn. MN 10 Toss-up 27
25 Mississippi Miss. MS 6 Solid Republican 28
26 Missouri Mo. MO 10 Leaning to Republican 29
27 Montana Mont. MT 3 Solid Republican 30
28 Nebraska Nebr. NE 2 Solid Republican 31
29 Nevada Nev. NV 6 Leaning to Democrat 32
30 New Hampshire N.H. NH 4 Leaning to Democrat 33
31 New Jersey N.J. NJ 14 Solid Democrat 34
32 New Mexico N.M. NM 5 Solid Democrat 35
33 New York N.Y. NY 29 Solid Democrat 36
34 North Carolina N.C. NC 15 Toss-up 37
35 North Dakota N.D. ND 3 Solid Republican 38
36 Ohio Ohio OH 18 Toss-up 39
37 Oklahoma Okla. OK 7 Solid Republican 40
38 Oregon Ore. OR 7 Solid Democrat 41
39 Pennsylvania Pa. PA 20 Leaning to Democrat 42
40 Rhode Island R.I. RI 4 Solid Democrat 44
41 South Carolina S.C. SC 9 Toss-up 45
42 South Dakota S.D. SD 3 Solid Republican 46
43 Tennessee Tenn. TN 11 Solid Republican 47
44 Texas Tex. TX 38 Toss-up 48
45 Utah Utah UT 6 Leaning to Republican 49
46 Vermont Vt. VT 3 Solid Democrat 50
47 Virginia Va. VA 13 Leaning to Democrat 51
48 Washington Wash. WA 12 Solid Democrat 53
49 West Virginia W.Va. WV 5 Solid Republican 54
50 Wisconsin Wis. WI 10 Leaning to Democrat 55
51 Wyoming Wyo. WY 3 Solid Republican 56
Я хотел бы отметить n_votes, должно получиться что-то вроде 
. Как я должен это сделать?
Спасибо,
Дэн
2 ответа
Решение
Этого можно было добиться так:
Получить координаты центроидов состояний, которые включены в пакет как данные
usmap.Присоедините свой набор данных к df с координатами
Используйте geom_text, чтобы пометить карту своими данными
Поскольку на чтение и приведение в порядок предоставленных вами данных потребуется некоторое время (в следующий раз: введите dput(NAME_OF_DATASET) в консоли и скопируйте и вставьте вывод, начиная с structure(... в ваш пост) я просто использую statepop данные предоставлены посылкой usmap в качестве примера данных:
library(usmap)
library(ggplot2)
library(dplyr)
library(stringr)
# Get centroids
centroid_labels <- utils::read.csv(system.file("extdata", paste0("us_", "states", "_centroids.csv"), package = "usmap"), stringsAsFactors = FALSE)
# Join data to centroids
data_labels <- centroid_labels %>%
mutate(fips = stringr::str_pad(fips, 2, pad = "0")) %>%
left_join(statepop)
#> Joining, by = c("fips", "abbr", "full")
plot_usmap(data=statepop, values="pop_2015", color='white', labels=FALSE) +
guides(fill=FALSE) +
geom_text(data = data_labels, ggplot2::aes(x = x, y = y,
label = scales::number(pop_2015, scale = 1e-3, accuracy = 1)), color = "white")
Вот альтернативный, полностью проработанный пример, который позволяет вам использовать ggplot преобразовав карту США в sfобъект. Это дает вам полную свободу выбора параметров построения графиков.ggplot:
library(usmap)
library(sf)
library(ggplot2)
d <- us_map("states")
USS <- lapply(split(d, d$full), function(x) {
if(length(table(x$piece)) == 1)
{
st_polygon(list(cbind(x$x, x$y)))
}
else
{
st_multipolygon(list(lapply(split(x, x$piece), function(y) cbind(y$x, y$y))))
}
})
USA <- st_sfc(USS, crs = usmap_crs()@projargs)
USA <- st_sf(data.frame(df, geometry = USA))
USA$centroids <- st_centroid(USA$geometry)
Хотя этот код может показаться немного сложным, он позволяет легко построить график:
ggplot(USA) +
geom_sf(aes(fill = Attitude)) +
geom_sf_text(aes(label = n_votes, geometry = centroids), colour = "white") +
scale_fill_manual(values = c("#67b5e3", "#ffada2","#1155b6",
"#ed4747", "#cccccc"), guide = guide_none()) +
theme_void()
Данные
df <- df <- structure(list(State = structure(1:51, .Label = c("Alabama",
"Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut",
"Delaware", "District of Columbia", "Florida", "Georgia", "Hawaii",
"Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky",
"Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan",
"Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska",
"Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York",
"North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon",
"Pennsylvania", "Rhode Island", "South Carolina", "South Dakota",
"Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington",
"West Virginia", "Wisconsin", "Wyoming"), class = "factor"),
Abbrev = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 9L, 8L,
10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 22L,
21L, 23L, 24L, 25L, 26L, 27L, 34L, 35L, 30L, 31L, 32L, 33L,
28L, 29L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L,
47L, 46L, 49L, 48L, 50L, 51L), .Label = c("Ala.", "Alaska",
"Ariz.", "Ark.", "Calif.", "Colo.", "Conn.", "D.C.", "Del.",
"Fla.", "Ga.", "Hawaii", "Idaho", "Ill.", "Ind.", "Iowa",
"Kans.", "Ky.", "La.", "Maine", "Mass.", "Md.", "Mich.",
"Minn.", "Miss.", "Mo.", "Mont.", "N.C.", "N.D.", "N.H.",
"N.J.", "N.M.", "N.Y.", "Nebr.", "Nev.", "Ohio", "Okla.",
"Ore.", "Pa.", "R.I.", "S.C.", "S.D.", "Tenn.", "Tex.", "Utah",
"Va.", "Vt.", "W.Va.", "Wash.", "Wis.", "Wyo."), class = "factor"),
Code = structure(c(2L, 1L, 4L, 3L, 5L, 6L, 7L, 9L, 8L, 10L,
11L, 12L, 14L, 15L, 16L, 13L, 17L, 18L, 19L, 22L, 21L, 20L,
23L, 24L, 26L, 25L, 27L, 30L, 34L, 31L, 32L, 33L, 35L, 28L,
29L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 47L,
46L, 48L, 50L, 49L, 51L), .Label = c("AK", "AL", "AR", "AZ",
"CA", "CO", "CT", "DC", "DE", "FL", "GA", "HI", "IA", "ID",
"IL", "IN", "KS", "KY", "LA", "MA", "MD", "ME", "MI", "MN",
"MO", "MS", "MT", "NC", "ND", "NE", "NH", "NJ", "NM", "NV",
"NY", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX",
"UT", "VA", "VT", "WA", "WI", "WV", "WY"), class = "factor"),
n_votes = c(9, 3, 11, 6, 55, 9, 7, 3, 3, 29, 16, 4, 4, 20,
11, 6, 6, 8, 8, 2, 10, 11, 16, 10, 6, 10, 3, 2, 6, 4, 14,
5, 29, 15, 3, 18, 7, 7, 20, 4, 9, 3, 11, 38, 6, 3, 13, 12,
5, 10, 3), Attitude = structure(c(4L, 5L, 5L, 4L, 3L, 1L,
3L, 3L, 3L, 1L, 5L, 3L, 4L, 3L, 2L, 2L, 2L, 4L, 4L, 3L, 3L,
3L, 1L, 5L, 4L, 2L, 4L, 4L, 1L, 1L, 3L, 3L, 3L, 5L, 4L, 5L,
4L, 3L, 1L, 3L, 5L, 4L, 4L, 5L, 2L, 3L, 1L, 3L, 4L, 1L, 4L
), .Label = c("Leaning to Democrat", "Leaning to Republican",
"Solid Democrat", "Solid Republican", "Toss-up"), class = "factor"),
fips = structure(1:51, .Label = c("01", "02", "04", "05",
"06", "08", "09", "10", "11", "12", "13", "15", "16", "17",
"18", "19", "20", "21", "22", "23", "24", "25", "26", "27",
"28", "29", "30", "31", "32", "33", "34", "35", "36", "37",
"38", "39", "40", "41", "42", "44", "45", "46", "47", "48",
"49", "50", "51", "53", "54", "55", "56"), class = "factor")),
class = "data.frame", row.names = c(NA, -51L))