See code to generate these images below
Typically in R it is difficult to create nice US choropleths that include Alaska and Hawaii. The functions presented here attempt to elegantly solve this problem by manually moving these states to a new location and providing a fortified data frame for mapping and visualization. This allows the user to easily add data to color the map.
The shape files that we use to plot the maps in R are located in the data-raw folder. For more information refer to the US Census Bureau. Maps at both the state and county levels are included for convenience (zip code maps may be included in the future).
To install from CRAN (recommended), run the following code in an R console:
install.packages("usmap")To install the package from this repository, run the following code in an R console:
# install.package("devtools")
devtools::install_github("pdil/usmap")Installing using devtools::install_github will provide the most recent developer build of usmap.
To begin using usmap, simply import the package using the library command:
library(usmap)To read the package vignettes, which explain helpful uses of the package, use vignette:
vignette(package = "usmap")
vignette("introduction", package = "usmap")
vignette("mapping", package = "usmap")You can also read the vignettes online at the following links:
- Obtain map with certain region breakdown
state_map <- us_map(regions = "states")
county_map <- us_map(regions = "counties")- Include only certain states
new_england_states <- c("Connecticut", "Maine", "Massachusetts", "New Hampshire", "Rhode Island", "Vermont")
new_england_map <- us_map(regions = "states", include = new_england_states)- Look up FIPS codes for states and counties
fips("New Jersey")
#> "34"
fips("NJ", county = "Mercer")
#> "34021"- Retrieve states or counties with FIPS codes
fips_info(c("34", "35"))
#> full abbr fips
#> 1 New Jersey NJ 34
#> 2 New Mexico NM 35
fips_info(c("34021", "35021"))
#> full abbr county fips
#> 1 New Jersey NJ Mercer County 34021
#> 2 New Mexico NM Harding County 35021- Color map with data
plot_usmap(data = statepop, values = "pop_2015", lines = "red") +
scale_fill_continuous(name = "Population (2015)", label = scales::comma) +
theme(legend.position = "right")library(usmap)
library(ggplot2)
# States map
plot_usmap(data = statepop, values = "pop_2015") +
scale_fill_continuous(low = "white", high = "red", guide = FALSE) +
scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0))
# Counties map
plot_usmap(data = countypop, values = "pop_2015") +
scale_fill_continuous(low = "white", high = "red", guide = FALSE) +
scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0))The code used to generate the map files was based on this blog post by Bob Rudis:
Moving The Earth (well, Alaska & Hawaii) With R
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