knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
Plots of US maps in R usually lack Alaska and Hawaii. The reason is plotting takes the literal longitude and latitude coordinates and maps it to a cartesian x-y coordinate graph. Alaska and Hawaii are very far from the mainland US when using this so it can be unwieldy to include them. The
usmap package solves this issue by providing data frames which have Alaska and Hawaii moved to a convenient spot just to the bottom left of the contiguous United States.
usmap::plot_usmap(regions = "counties")
The raw US map data for counties or states can be obtained for further manipulation (and joining with data). The default
states_df <- usmap::us_map() counties_df <- usmap::us_map(regions = "counties")
FIPS codes are defined in the Federal Information Processing Standards by the US government. One usage is uniquely identifying US states and counties (among other things such as identifying countries for the CIA World Factbook). Downloading datasets from the US Census will often include FIPS codes as identifiers so it can be helpful to know what a FIPS code represents. The functions in
usmap are built around the FIPS code identification system and so convenience methods for accessing them and performing reverse-lookups have been included.
# Get FIPS code for a state usmap::fips(state = "MA") usmap::fips(state = "Massachusetts") # Get FIPS code for a county usmap::fips(state = "NJ", county = "Bergen") usmap::fips(state = "CA", county = "Orange County") # The parameters are NOT case sensitive! usmap::fips(state = "ca", county = "oRanGe cOUNty")
If the FIPS code is known and want to see what state/county it corresponds to, use the reverse lookup function
usmap::fips_info(c("30", "33", "34"))
usmap::fips_info(c("01001", "01003", "01005", "01007"))
More information about FIPS can be read here.
“A map is the greatest of all epic poems. Its lines and colors show the realization of great dreams.” - Gilbert H. Grosvenor, Editor of National Geographic (1903 - 1954)
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