Created
November 4, 2022 13:45
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library(tigris) | |
library(tidyverse) | |
library(showtext) | |
library(sf) | |
library(ggfx) | |
options(tigris_use_cache = TRUE) | |
font_add_google("Roboto", "Roboto") | |
showtext_auto() | |
state_borders <- states(cb = TRUE, resolution = "20m") %>% | |
shift_geometry() | |
green_counties <- counties(cb = TRUE, resolution = "20m") %>% | |
filter(str_detect(NAME, "Green|Verde")) %>% | |
shift_geometry() | |
green_places <- places(cb = TRUE) %>% | |
filter(str_detect(NAME, "Green|Verde")) %>% | |
st_centroid() %>% | |
shift_geometry() | |
ggplot() + | |
with_shadow( | |
geom_sf(data = state_borders, fill = "grey80", color = "grey20"), | |
colour = "darkgreen", x_offset = -3, y_offset = 3 | |
) + | |
with_shadow( | |
geom_sf(data = green_counties, fill = "darkgreen", color = "white"), | |
colour = "white", x_offset = -1, y_offset = 1 | |
) + | |
geom_sf(data = green_places, color = "white", alpha = 0.75, | |
fill = "darkgreen", shape = 21) + | |
theme_void(base_size = 16, base_family = "Roboto") + | |
labs(title = "U.S. counties & cities with 'Green' or 'Verde' in their name", | |
subtitle = "Source: Census cartographic boundary shapefiles", | |
caption = "@kyle_e_walker | tigris R package") |
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