/
code_fuel.R
187 lines (144 loc) · 5.46 KB
/
code_fuel.R
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library(tidyverse)
library(ggtext)
library(janitor)
library(sf)
library(rnaturalearth)
library(viridis)
library(MetBrewer)
stations <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-03-01/stations.csv')
stations <- stations %>%
clean_names()
stations <- stations %>%
st_as_sf(coords = c("x", "y"),
crs = 4326) %>%
select(access_code)
usa <- rnaturalearth::ne_states("United States of America") %>%
st_as_sf()
usa <- usa %>%
filter(!name %in% c("Alaska", "Hawaii"))
usa <- usa %>%
st_transform(crs = 3857)
usa_union <- usa %>%
summarize()
usa_union <- usa_union %>%
st_transform(3857)
stations <- stations %>%
st_transform(3857)
latitude <- 38
longitude <- -100
ortho <- paste0('+proj=ortho +lat_0=', latitude, ' +lon_0=', longitude,
' +x_0=0 +y_0=0 +a=6371000 +b=6371000 +units=m +no_defs')
usa <- usa %>%
st_transform(ortho)
usa_union <- usa_union %>%
st_transform(ortho)
stations <- stations %>%
st_transform(ortho)
us_grid <- usa_union %>%
summarise() %>%
st_make_grid(.,
cellsize = c(200*10^3,
200*10^3),
square = FALSE) %>%
st_as_sf()
stations <- stations %>%
mutate(us_dist = st_distance(.,
usa_union))
stations <- stations %>%
mutate(us_dist = unclass(us_dist))
stations <- stations %>%
filter(us_dist < 50*10^3)
us_grid <- us_grid %>%
mutate(grid_id = row_number())
intersections_data <- stations %>%
st_join(.,
us_grid,
join = st_nearest_feature) %>%
st_drop_geometry() %>%
select(access_code,
grid_id)
intersections_data <- intersections_data %>%
group_by(access_code,
grid_id,
.drop = FALSE) %>%
tally()
intersections_data <- intersections_data %>%
pivot_wider(id_cols = grid_id,
values_from = n,
names_from = access_code)
us_grid <- us_grid %>%
tidylog::left_join(.,
intersections_data,
by = "grid_id")
us_grid <- us_grid %>%
mutate(across(c(public, private),
~ log(.x + 1),
.names = "ln_{.col}"))
us_grid <- us_grid %>%
mutate(across(ends_with(c("public", "private")),
~ ifelse(is.na(.x),
0,
.x)))
us_plot <- usa %>%
st_intersection(usa_union) %>%
st_simplify(dTolerance = 5000)
us_grid <- us_grid %>%
st_intersection(us_plot)
bkg_col <- "gray20"
bkg <- element_rect(fill = bkg_col,
color = bkg_col)
txt_font <- "Fira Sans"
pal <- met.brewer("VanGogh3",
type = "continuous")
scales::show_col(pal)
pal_text <- pal %>% unlist() %>% as.character()
pt1 <- pal_text[1]
txt_col <- pal_text[2]
pt8 <- pal_text[8]
pal_text[5]
ggplot() +
geom_sf(data = us_grid, aes(fill = ln_public),
color = "white",
size = 0.05) +
geom_sf(data = us_plot,
fill = NA,
color = "white",
size = 0.225) +
scale_fill_gradientn(colors = pal) +
theme_void() +
labs(title = "Alternative Fuel Stations in the US",
subtitle = "Number (log) of Alternative Fuel Stations with public access.<br><span style='color:#669D62'>Darker colors </span> reflect a larger number of stations",
caption = "Graphics: Jeppe Vierø | <span style='font-family: \"Font Awesome 5 Brands\"'> </span>   <span style='font-family: \"Font Awesome 5 Brands\"'>     </span> jvieroe | #TidyTuesday 2022, Week 9 | Data: US DOT") +
coord_sf(clip = "off",
xlim = c(st_bbox(us_grid)[[1]]*1.00,
st_bbox(us_grid)[[3]]*1.00),
ylim = c(st_bbox(us_grid)[[2]]*1.122,
st_bbox(us_grid)[[4]]*1.122)) +
theme(panel.background = bkg,
plot.background = bkg,
plot.title = ggtext::element_markdown(hjust = 0.5,
color = pt1,
size = 28,
family = txt_font,
margin = ggplot2::margin(t = 10,
b = -30,
unit = "pt")),
plot.subtitle = ggtext::element_markdown(hjust = 0.5,
color = txt_col,
size = 14,
family = txt_font,
margin = ggplot2::margin(t = 35,
b = -35,
unit = "pt")),
plot.caption = ggtext::element_markdown(hjust = 0.5,
color = txt_col,
family = txt_font,
margin = ggplot2::margin(t = -10,
unit = "pt")),
panel.grid.major = element_line(color = "white",
size = .06),
legend.position = "none",
plot.margin = ggplot2::margin(t = 0,
unit = "pt"))
ggsave(plot = last_plot(),
filename = "2022/week_09/fuel.png")