ggfips
library(tidyverse )
# > ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
# > ✔ dplyr 1.1.0 ✔ readr 2.1.4
# > ✔ forcats 1.0.0 ✔ stringr 1.5.0
# > ✔ ggplot2 3.4.1 ✔ tibble 3.2.0
# > ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
# > ✔ purrr 1.0.1
# > ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
# > ✖ dplyr::filter() masks stats::filter()
# > ✖ dplyr::lag() masks stats::lag()
# > ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(ggfips )
us_census %> %
ggplot() +
coord_sf() +
aes(fips = fips ) +
aes(fill = mean_work_travel ) +
geom_sf_county() +
scale_fill_viridis_c(option = " magma" )
# > Joining with `by = join_by(fips)`
spotlighting
us_census %> %
ggplot() +
coord_sf() +
aes(fips = fips ) +
aes(fill = mean_work_travel ) +
geom_sf_county(state = " Illinois" ) +
scale_fill_viridis_c(option = " magma" )
# > Joining with `by = join_by(fips)`
last_plot() +
geom_sf_county(state = " Illinois" ,
county = c(" Cook" , " Champaign" ),
color = " red" , linewidth = 1 )
# > Joining with `by = join_by(fips)`
# > Joining with `by = join_by(fips)`
# aesthetic mapping quick change
last_plot() +
aes(fill = per_capita_income ) +
scale_fill_viridis_c()
# > Scale for fill is already present.
# > Adding another scale for fill, which will replace the existing scale.
# > Joining with `by = join_by(fips)`
# > Joining with `by = join_by(fips)`
us_census %> %
ggplot() +
coord_sf() +
aes(fips = fips ) +
aes(fill = mean_work_travel ) +
geom_sf_county(state = " Texas" ) +
scale_fill_viridis_c(option = " magma" )
# > Joining with `by = join_by(fips)`
us_census %> %
ggplot() +
coord_sf() +
aes(fips = fips ) +
aes(fill = mean_work_travel ) +
geom_sf_county(state = " Iowa" ) +
scale_fill_viridis_c(option = " magma" )
# > Joining with `by = join_by(fips)`
us_census %> %
ggplot() +
coord_sf() +
aes(fips = fips ) +
aes(fill = mean_work_travel ) +
geom_sf_county(state = " New York" ) +
scale_fill_viridis_c(option = " magma" ) +
geom_sf_county(state = " New York" ,
county = c(" Orange" ,
" Putnam" ,
" Westchester" ), aes(color = name ),
color = " red" , linewidth = 1 )
# > Joining with `by = join_by(fips)`
# > Joining with `by = join_by(fips)`