如何根据 R tmap 中的属性值更改多边形的边框颜色
How to change the border color of a polygon based on an attribute value in R tmap
我正在尝试使用 R 的 tmap 包创建地图，该包对属性的每个值具有不同的颜色轮廓。例如，当填充多边形时，我可以简单地执行 tm_polygons(col = "variable") 以获得基于“variable”属性填充多边形的地图。我想做类似的事情，但只有边框，没有填充。我没有找到任何好的答案，所以我希望在这里得到一些帮助！
这里有一个例子可以说明这个想法：
library(tigris)
library(tmap)
library(tidyverse)
region_2 = states() %>% filter(REGION == 2)
states_of_interest = region_2 %>% filter(NAME %in% c("Ohio", "Missouri", "Wisconsin"))
tm_shape(region_2) + tm_polygons(col = "white") + tm_shape(states_of_interest) + .......
我不太确定如何进行
基本上，我希望俄亥俄州、密苏里州和威斯康星州的边界使用不同的颜色来区分它们，使用 states_of_interest 中的 NAME 属性。任何帮助将不胜感激！
一个潜在的解决方法是将您的 POLYGONS 转换为 LINESTRING 并继续 tm_lines():
library(tigris)
#> To enable caching of data, set `options(tigris_use_cache = TRUE)`
#> in your R script or .Rprofile.
library(tmap)
library(tidyverse)
region_2 = states() %>% filter(REGION == 2)
#> Retrieving data for the year 2020
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states_of_interest = region_2 %>%
filter(NAME %in% c("Ohio", "Missouri", "Wisconsin"))
states_lines <- states_of_interest %>% sf::st_cast("MULTILINESTRING")
tm_shape(region_2) +
tm_polygons(col = "white") +
tm_shape(states_lines) +
tm_lines(col="NAME", lwd=2)
由 reprex package (v2.0.1)
创建于 2022-03-21
我正在尝试使用 R 的 tmap 包创建地图，该包对属性的每个值具有不同的颜色轮廓。例如，当填充多边形时，我可以简单地执行 tm_polygons(col = "variable") 以获得基于“variable”属性填充多边形的地图。我想做类似的事情，但只有边框，没有填充。我没有找到任何好的答案，所以我希望在这里得到一些帮助！
这里有一个例子可以说明这个想法：
library(tigris)
library(tmap)
library(tidyverse)
region_2 = states() %>% filter(REGION == 2)
states_of_interest = region_2 %>% filter(NAME %in% c("Ohio", "Missouri", "Wisconsin"))
tm_shape(region_2) + tm_polygons(col = "white") + tm_shape(states_of_interest) + .......
我不太确定如何进行
基本上，我希望俄亥俄州、密苏里州和威斯康星州的边界使用不同的颜色来区分它们，使用 states_of_interest 中的 NAME 属性。任何帮助将不胜感激！
一个潜在的解决方法是将您的 POLYGONS 转换为 LINESTRING 并继续 tm_lines():
library(tigris)
#> To enable caching of data, set `options(tigris_use_cache = TRUE)`
#> in your R script or .Rprofile.
library(tmap)
library(tidyverse)
region_2 = states() %>% filter(REGION == 2)
#> Retrieving data for the year 2020
#> | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |== | 4% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========= | 14% | |========== | 14% | |========== | 15% | |=========== | 15% | |=========== | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================= | 24% | |================= | 25% | |================== | 25% | |================== | 26% | |=================== | 27% | |==================== | 28% | |==================== | 29% | |===================== | 30% | |===================== | 31% | |====================== | 31% | 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states_of_interest = region_2 %>%
filter(NAME %in% c("Ohio", "Missouri", "Wisconsin"))
states_lines <- states_of_interest %>% sf::st_cast("MULTILINESTRING")
tm_shape(region_2) +
tm_polygons(col = "white") +
tm_shape(states_lines) +
tm_lines(col="NAME", lwd=2)
由 reprex package (v2.0.1)
创建于 2022-03-21