├── .Rbuildignore ├── .gitignore ├── DESCRIPTION ├── LICENSE ├── NAMESPACE ├── R ├── boundaries.R ├── sysdata.rda └── ussf.R ├── README.md ├── data-raw ├── 2018_cz_1990.R ├── 2018_state_county.R └── sysdata.R ├── man ├── boundaries.Rd └── ussf.Rd └── tests ├── testthat.R └── testthat └── test-boundaries.R /.Rbuildignore: -------------------------------------------------------------------------------- 1 | ^ussf\.Rproj$ 2 | ^\.Rproj\.user$ 3 | ^data-raw$ 4 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | ussf.Rproj 2 | .Rproj.user 3 | .Rhistory 4 | .RData 5 | -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: ussf 2 | Title: U.S. boundaries for states, counties, and commuting zones 3 | Description: U.S. boundaries for states, counties, and commuting zones as 4 | sf objects. Derived from U.S. Census Bureau 2018 cartographic boundaries. 5 | Version: 0.1.0.9000 6 | Authors@R: 7 | person( 8 | given = "Bill", 9 | family = "Behrman", 10 | email = "behrman@stanford.edu", 11 | role = c("aut", "cre") 12 | ) 13 | URL: https://github.com/dcl-docs/ussf 14 | BugReports: https://github.com/dcl-docs/ussf/issues 15 | License: GPL-3 | file LICENSE 16 | Encoding: UTF-8 17 | LazyData: true 18 | Depends: 19 | R (>= 2.10) 20 | Imports: 21 | stringr 22 | Suggests: 23 | testthat (>= 2.1.0) 24 | RoxygenNote: 7.0.2 25 | Roxygen: list(markdown = TRUE) 26 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /NAMESPACE: -------------------------------------------------------------------------------- 1 | # Generated by roxygen2: do not edit by hand 2 | 3 | export(boundaries) 4 | importFrom(stringr,str_glue) 5 | -------------------------------------------------------------------------------- /R/boundaries.R: -------------------------------------------------------------------------------- 1 | #' Boundaries for U.S. states, counties, or commuting zones 2 | #' 3 | #' Boundaries for U.S. states, counties, or commuting zones as sf object. 4 | #' 5 | #' @param geography One of: 6 | #' * `"state"` (Default) 7 | #' * `"county"` 8 | #' * `"cz"` Commuting zone. 9 | #' @param resolution One of: 10 | #' * `"20m"` 1:20,000,000 (Default) 11 | #' * `"5m"` 1:5,000,000 12 | #' * `"500k"` 1:500,000 13 | #' @param projection One of: 14 | #' * `"albers"` Albers equal area with Alaska and Hawaii scaled and below 15 | #' contiguous states. (Default) 16 | #' * `"longlat"` Longitude and latitude. 17 | #' 18 | #' @details The default 1:20,000,000 resolution is suitable for maps of the 19 | #' entire U.S. The other two higher resolutions are suitable for maps of smaller 20 | #' areas. The default Albers equal area projection is suitable for maps of the 21 | #' entire U.S. The longitude and latitude projection is suitable for maps of 22 | #' smaller areas. 23 | #' 24 | #' @return An sf object. 25 | #' 26 | #' @export 27 | #' 28 | #' @examples 29 | #' counties <- boundaries(geography = "county") 30 | #' 31 | #' @source U.S. Census Bureau. \href{https://www2.census.gov/geo/tiger/GENZ2018/shp/}{2018 Cartographic Boundary Shapefiles}. 32 | #' @source USDA Economic Research Service. 33 | #' \href{https://www.ers.usda.gov/data-products/commuting-zones-and-labor-market-areas/}{1990 Commuting Zones}. 34 | boundaries <- function( 35 | geography = c("state", "county", "cz"), 36 | resolution = c("20m", "5m", "500k"), 37 | projection = c("albers", "longlat") 38 | ) { 39 | geography <- match.arg(geography) 40 | resolution <- match.arg(resolution) 41 | projection <- match.arg(projection) 42 | 43 | get(str_glue("{geography}_{resolution}_{projection}")) 44 | } 45 | -------------------------------------------------------------------------------- /R/sysdata.rda: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dcl-docs/ussf/9cf770595a292f8bcac95ae7d2a4a0a059472b52/R/sysdata.rda -------------------------------------------------------------------------------- /R/ussf.R: -------------------------------------------------------------------------------- 1 | #' ussf 2 | #' 3 | #' U.S. boundaries for states, counties, and commuting zones. 4 | #' 5 | #' @docType package 6 | #' @name ussf 7 | #' @keywords internal 8 | #' @importFrom stringr str_glue 9 | NULL 10 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # U.S. Boundaries 2 | 3 | U.S. boundaries for states, counties, and commuting zones as sf objects. Derived from U.S. Census Bureau 2018 cartographic boundaries. 4 | 5 | You can install this R package with: 6 | 7 | ``` r 8 | # install.packages("remotes") 9 | remotes::install_github("dcl-docs/ussf") 10 | ``` 11 | 12 | Boundaries are available for each combination of the following: 13 | 14 | * Geometry: 15 | * State 16 | * County 17 | * Commuting zone 18 | * Resolution: 19 | * 1:20,000,000 20 | * 1:5,000,000 21 | * 1:500,000 22 | * Projection: 23 | * Albers equal area with Alaska and Hawaii scaled and below contiguous states 24 | * Longitude and latitude 25 | -------------------------------------------------------------------------------- /data-raw/2018_cz_1990.R: -------------------------------------------------------------------------------- 1 | # Create boundaries of US 1990 commuting zones in R sf format using US Census 2 | # Bureau shapefiles 3 | 4 | # Author: Bill Behrman 5 | # Version: 2019-12-27 6 | 7 | # Libraries 8 | library(tidyverse) 9 | library(readxl) 10 | library(sf) 11 | 12 | # Parameters 13 | # Boundary year 14 | year <- "2018" 15 | # URL for US Census Bureau shapefiles 16 | url_cb <- str_glue("http://www2.census.gov/geo/tiger/GENZ{year}/shp") 17 | # URL for commuting zone county partition using 1990 counties 18 | url_cz <- "https://www.ers.usda.gov/webdocs/DataFiles/48457/czlma903.xls?v=40961" 19 | # Boundary resolutions 20 | resolutions <- c("20m", "5m", "500k") 21 | # FIPS codes for US states and District of Columbia 22 | fips_states <- 23 | c( 24 | "01", "02", "04", "05", "06", "08", "09", "10", "11", "12", "13", "15", 25 | "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", 26 | "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", 27 | "40", "41", "42", "44", "45", "46", "47", "48", "49", "50", "51", "53", 28 | "54", "55", "56" 29 | ) 30 | # Tranformation parameters for Alaska and Hawaii 31 | alaska_crop <- c(xmin = -172, xmax = -125, ymin = 50, ymax = 75) 32 | alaska_scale <- 0.35 33 | alaska_x_offset <- 0.095 34 | alaska_y_offset <- 0.150 35 | hawaii_crop <- c(xmin = -165, xmax = -150, ymin = 15, ymax = 25) 36 | hawaii_scale <- 1 37 | hawaii_x_offset <- 0.305 38 | hawaii_y_offset <- 0.065 39 | # Coordinate reference systems 40 | longlat <- "+proj=longlat +datum=WGS84 +no_defs" 41 | albers_contig <- 42 | "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 43 | albers_alaska <- 44 | "+proj=aea +lat_1=55 +lat_2=65 +lat_0=50 +lon_0=-154 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 45 | albers_hawaii <- 46 | "+proj=aea +lat_1=8 +lat_2=18 +lat_0=13 +lon_0=-157 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 47 | # FIPS codes for counties deleted since 1990 census 48 | counties_deleted <- 49 | c( 50 | "02201", "02231", "02270", "02280", "12025", "30113", "46113", "51515", 51 | "51560", "51780" 52 | ) 53 | # FIPS codes for counties added since 1990 census with 1990 commuting zone 54 | counties_added <- 55 | tribble( 56 | ~fips_county, ~cz_1990, 57 | "02068", "34115", 58 | "02105", "34109", 59 | "02158", "34112", 60 | "02195", "34110", 61 | "02198", "34111", 62 | "02230", "34109", 63 | "02275", "34110", 64 | "02282", "34109", 65 | "08014", "28900", 66 | "12086", "07000", 67 | "46102", "27704" 68 | ) 69 | # Rename commuting zones 70 | rename_cz <- 71 | c( 72 | "34103" = "Valdez-Cordova" 73 | ) 74 | # Temporary directory 75 | tmp <- str_glue("{tempdir()}/2019_cz_1990") 76 | 77 | #=============================================================================== 78 | 79 | # Create temporary directory 80 | if (!file.exists(tmp)) { 81 | dir.create(tmp, recursive = TRUE) 82 | } 83 | 84 | # Download commuting zones county partition 85 | dest <- str_glue("{tmp}/czlma903.xls") 86 | if (download.file(url = url_cz, destfile = dest, quiet = TRUE)) { 87 | stop("Error: Commuting zones download failed") 88 | } 89 | 90 | # Read commuting zone county partition, add place and state variables 91 | cz <- 92 | read_excel(dest, sheet = "CZLMA903", na = ".") %>% 93 | select( 94 | fips_county = "County FIPS Code", 95 | cz_1990 = CZ90, 96 | place_state = "Name of largest place in Commuting Zone" 97 | ) %>% 98 | mutate( 99 | place = 100 | place_state %>% 101 | str_remove(" borough.*| CDP.*| city.*| town.*| \\(rem.*|,.*"), 102 | state = place_state %>% str_sub(start = -2L) 103 | ) %>% 104 | select(-place_state) 105 | 106 | # Adjust county partition for counties added and deleted since 1990 107 | cz <- 108 | counties_added %>% 109 | left_join(cz %>% select(-fips_county) %>% distinct(), by = "cz_1990") %>% 110 | bind_rows(cz, .) %>% 111 | filter(!fips_county %in% counties_deleted) 112 | 113 | # Rename commuting zones 114 | for (zone in names(rename_cz)) { 115 | cz$place[cz$cz_1990 == zone] <- rename_cz[zone] 116 | } 117 | 118 | # For resolution 119 | for (resolution in resolutions) { 120 | 121 | # Boundary specification 122 | boundary <- str_glue("cb_{year}_us_county_{resolution}") 123 | 124 | # Download and unzip US Census Bureau shapefile 125 | url <- str_glue("{url_cb}/{boundary}.zip") 126 | dest <- str_glue("{tmp}/{boundary}.zip") 127 | if (download.file(url = url, destfile = dest)) { 128 | print(str_glue("Error: Download for {boundary} failed")) 129 | next 130 | } 131 | unzip(zipfile = dest, exdir = str_glue("{tmp}/{boundary}")) 132 | 133 | # sf object for commuting zones for states and District of Columbia 134 | v <- 135 | read_sf(dsn = str_glue("{tmp}/{boundary}/{boundary}.shp")) %>% 136 | filter(STATEFP %in% fips_states) 137 | stopifnot(all(v$GEOID %in% cz$fips_county)) 138 | 139 | us <- 140 | v %>% 141 | left_join(cz, by = c("GEOID" = "fips_county")) %>% 142 | group_by(cz_1990, place, state) %>% 143 | summarize() %>% 144 | ungroup() %>% 145 | st_cast("MULTIPOLYGON") 146 | 147 | # Version with longitude and latitude projection 148 | var <- str_glue("cz_{resolution}_longlat") 149 | us %>% 150 | st_transform(crs = longlat) %>% 151 | assign(x = var, value = ., envir = .GlobalEnv) 152 | 153 | # Version with Albers projection and Alaska and Hawaii below other states 154 | contig <- 155 | us %>% 156 | filter(!state %in% c("AK", "HI")) %>% 157 | st_transform(crs = albers_contig) 158 | 159 | bbox_contig <- st_bbox(contig) 160 | 161 | position <- function(bbox, x_offset, y_offset) { 162 | st_sfc(st_point(c( 163 | bbox$xmin + x_offset * (bbox$xmax - bbox$xmin), 164 | bbox$ymin + y_offset * (bbox$ymax - bbox$ymin) 165 | ))) 166 | } 167 | 168 | alaska <- 169 | us %>% 170 | filter(state == "AK") %>% 171 | st_crop(alaska_crop) %>% 172 | st_transform(crs = albers_alaska) %>% 173 | st_set_geometry( 174 | (st_geometry(.) - st_centroid(st_union(st_geometry(.)))) * 175 | alaska_scale + 176 | position( 177 | bbox = bbox_contig, 178 | x_offset = alaska_x_offset, 179 | y_offset = alaska_y_offset 180 | ) 181 | ) %>% 182 | st_set_crs(value = albers_contig) 183 | 184 | hawaii <- 185 | us %>% 186 | filter(state == "HI") %>% 187 | st_crop(hawaii_crop) %>% 188 | st_transform(crs = albers_hawaii) %>% 189 | st_set_geometry( 190 | (st_geometry(.) - st_centroid(st_union(st_geometry(.)))) * 191 | hawaii_scale + 192 | position( 193 | bbox = bbox_contig, 194 | x_offset = hawaii_x_offset, 195 | y_offset = hawaii_y_offset 196 | ) 197 | ) %>% 198 | st_set_crs(value = albers_contig) 199 | 200 | var <- str_glue("cz_{resolution}_albers") 201 | rbind(contig, alaska, hawaii) %>% 202 | assign(x = var, value = ., envir = .GlobalEnv) 203 | } 204 | 205 | # Remove temporary directory 206 | if (unlink(tmp, recursive = TRUE, force = TRUE)) { 207 | print("Error: Remove temporary directory failed") 208 | } 209 | -------------------------------------------------------------------------------- /data-raw/2018_state_county.R: -------------------------------------------------------------------------------- 1 | # Create boundaries of US states and counties in R sf format using US Census 2 | # Bureau shapefiles 3 | 4 | # Author: Bill Behrman 5 | # Version: 2019-12-27 6 | 7 | # Libraries 8 | library(tidyverse) 9 | library(sf) 10 | 11 | # Parameters 12 | # Boundary year 13 | year <- "2018" 14 | # URL for US Census Bureau shapefiles 15 | url_cb <- str_glue("http://www2.census.gov/geo/tiger/GENZ{year}/shp") 16 | # Boundary geographies 17 | geographies <- c("state", "county") 18 | # Boundary resolutions 19 | resolutions <- c("20m", "5m", "500k") 20 | # FIPS codes for US states and District of Columbia 21 | fips_states <- 22 | c( 23 | "01", "02", "04", "05", "06", "08", "09", "10", "11", "12", "13", "15", 24 | "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", 25 | "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", 26 | "40", "41", "42", "44", "45", "46", "47", "48", "49", "50", "51", "53", 27 | "54", "55", "56" 28 | ) 29 | # Tranformation parameters for Alaska and Hawaii 30 | alaska_crop <- c(xmin = -172, xmax = -125, ymin = 50, ymax = 75) 31 | alaska_scale <- 0.35 32 | alaska_x_offset <- 0.095 33 | alaska_y_offset <- 0.150 34 | hawaii_crop <- c(xmin = -165, xmax = -150, ymin = 15, ymax = 25) 35 | hawaii_scale <- 1 36 | hawaii_x_offset <- 0.305 37 | hawaii_y_offset <- 0.065 38 | # Coordinate reference systems 39 | longlat <- "+proj=longlat +datum=WGS84 +no_defs" 40 | albers_contig <- 41 | "+proj=aea +lat_1=29.5 +lat_2=45.5 +lat_0=37.5 +lon_0=-96 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 42 | albers_alaska <- 43 | "+proj=aea +lat_1=55 +lat_2=65 +lat_0=50 +lon_0=-154 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 44 | albers_hawaii <- 45 | "+proj=aea +lat_1=8 +lat_2=18 +lat_0=13 +lon_0=-157 +x_0=0 +y_0=0 +datum=WGS84 +no_defs" 46 | # Temporary directory 47 | tmp <- str_glue("{tempdir()}/2019_county_state") 48 | 49 | #=============================================================================== 50 | 51 | # Create temporary directory for US Census Bureau shapefiles 52 | if (!file.exists(tmp)) { 53 | dir.create(tmp, recursive = TRUE) 54 | } 55 | 56 | for (geography in geographies) { 57 | for (resolution in resolutions) { 58 | 59 | boundary <- str_glue("cb_{year}_us_{geography}_{resolution}") 60 | 61 | # Download and unzip US Census Bureau shapefile 62 | url <- str_glue("{url_cb}/{boundary}.zip") 63 | dest <- str_glue("{tmp}/{boundary}.zip") 64 | if (download.file(url = url, destfile = dest, quiet = TRUE)) { 65 | print(str_glue("Error: Download for {boundary} failed")) 66 | next 67 | } 68 | unzip(zipfile = dest, exdir = str_glue("{tmp}/{boundary}")) 69 | 70 | # sf object for states and District of Columbia 71 | us <- 72 | read_sf(dsn = str_glue("{tmp}/{boundary}/{boundary}.shp")) %>% 73 | filter(STATEFP %in% fips_states) 74 | 75 | # Version with longitude and latitude projection 76 | var <- str_glue("{geography}_{resolution}_longlat") 77 | us %>% 78 | st_transform(crs = longlat) %>% 79 | assign(x = var, value = ., envir = .GlobalEnv) 80 | 81 | # Version with Albers projection and Alaska and Hawaii below other states 82 | contig <- 83 | us %>% 84 | filter(!STATEFP %in% c("02", "15")) %>% 85 | st_transform(crs = albers_contig) 86 | 87 | bbox_contig <- st_bbox(contig) 88 | 89 | position <- function(bbox, x_offset, y_offset) { 90 | st_sfc(st_point(c( 91 | bbox$xmin + x_offset * (bbox$xmax - bbox$xmin), 92 | bbox$ymin + y_offset * (bbox$ymax - bbox$ymin) 93 | ))) 94 | } 95 | 96 | alaska <- 97 | us %>% 98 | filter(STATEFP == "02") %>% 99 | st_crop(alaska_crop) %>% 100 | st_transform(crs = albers_alaska) %>% 101 | st_set_geometry( 102 | (st_geometry(.) - st_centroid(st_union(st_geometry(.)))) * 103 | alaska_scale + 104 | position( 105 | bbox = bbox_contig, 106 | x_offset = alaska_x_offset, 107 | y_offset = alaska_y_offset 108 | ) 109 | ) %>% 110 | st_set_crs(value = albers_contig) 111 | 112 | hawaii <- 113 | us %>% 114 | filter(STATEFP == "15") %>% 115 | st_crop(hawaii_crop) %>% 116 | st_transform(crs = albers_hawaii) %>% 117 | st_set_geometry( 118 | (st_geometry(.) - st_centroid(st_union(st_geometry(.)))) * 119 | hawaii_scale + 120 | position( 121 | bbox = bbox_contig, 122 | x_offset = hawaii_x_offset, 123 | y_offset = hawaii_y_offset 124 | ) 125 | ) %>% 126 | st_set_crs(value = albers_contig) 127 | 128 | var <- str_glue("{geography}_{resolution}_albers") 129 | rbind(contig, alaska, hawaii) %>% 130 | assign(x = var, value = ., envir = .GlobalEnv) 131 | } 132 | } 133 | 134 | # Remove temporary directory 135 | if (unlink(tmp, recursive = TRUE, force = TRUE)) { 136 | print("Error: Remove temporary directory failed") 137 | } 138 | -------------------------------------------------------------------------------- /data-raw/sysdata.R: -------------------------------------------------------------------------------- 1 | # Save boundaries for states, counties, and commuting zones. 2 | 3 | # Author: Bill Behrman 4 | # Version: 2019-12-27 5 | 6 | # Parameters 7 | # Script to create boundaries for states and counties 8 | script_state_country <- here::here("data-raw/2018_state_county.R") 9 | # Script to create boundaries for commuting zones 10 | script_cz <- here::here("data-raw/2018_cz_1990.R") 11 | # Variable pattern 12 | var_pattern <- "^(state|county|cz)_(20m|5m|500k)_(albers|longlat)$" 13 | # Output file 14 | file_out <- here::here("R/sysdata.rda") 15 | 16 | #=============================================================================== 17 | 18 | source(script_state_country) 19 | source(script_cz) 20 | 21 | stopifnot(length(ls(pattern = var_pattern)) == 18) 22 | 23 | save( 24 | list = ls(pattern = var_pattern), 25 | file = file_out, 26 | version = 2, 27 | compress = "xz" 28 | ) 29 | -------------------------------------------------------------------------------- /man/boundaries.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/boundaries.R 3 | \name{boundaries} 4 | \alias{boundaries} 5 | \title{Boundaries for U.S. states, counties, or commuting zones} 6 | \source{ 7 | U.S. Census Bureau. \href{https://www2.census.gov/geo/tiger/GENZ2018/shp/}{2018 Cartographic Boundary Shapefiles}. 8 | 9 | USDA Economic Research Service. 10 | \href{https://www.ers.usda.gov/data-products/commuting-zones-and-labor-market-areas/}{1990 Commuting Zones}. 11 | } 12 | \usage{ 13 | boundaries( 14 | geography = c("state", "county", "cz"), 15 | resolution = c("20m", "5m", "500k"), 16 | projection = c("albers", "longlat") 17 | ) 18 | } 19 | \arguments{ 20 | \item{geography}{One of: 21 | \itemize{ 22 | \item \code{"state"} (Default) 23 | \item \code{"county"} 24 | \item \code{"cz"} Commuting zone. 25 | }} 26 | 27 | \item{resolution}{One of: 28 | \itemize{ 29 | \item \code{"20m"} 1:20,000,000 (Default) 30 | \item \code{"5m"} 1:5,000,000 31 | \item \code{"500k"} 1:500,000 32 | }} 33 | 34 | \item{projection}{One of: 35 | \itemize{ 36 | \item \code{"albers"} Albers equal area with Alaska and Hawaii scaled and below 37 | contiguous states. (Default) 38 | \item \code{"longlat"} Longitude and latitude. 39 | }} 40 | } 41 | \value{ 42 | An sf object. 43 | } 44 | \description{ 45 | Boundaries for U.S. states, counties, or commuting zones as sf object. 46 | } 47 | \details{ 48 | The default 1:20,000,000 resolution is suitable for maps of the 49 | entire U.S. The other two higher resolutions are suitable for maps of smaller 50 | areas. The default Albers equal area projection is suitable for maps of the 51 | entire U.S. The longitude and latitude projection is suitable for maps of 52 | smaller areas. 53 | } 54 | \examples{ 55 | counties <- boundaries(geography = "county") 56 | 57 | } 58 | -------------------------------------------------------------------------------- /man/ussf.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/ussf.R 3 | \docType{package} 4 | \name{ussf} 5 | \alias{ussf} 6 | \title{ussf} 7 | \description{ 8 | U.S. boundaries for states, counties, and commuting zones. 9 | } 10 | \keyword{internal} 11 | -------------------------------------------------------------------------------- /tests/testthat.R: -------------------------------------------------------------------------------- 1 | library(testthat) 2 | library(ussf) 3 | 4 | test_check("ussf") 5 | -------------------------------------------------------------------------------- /tests/testthat/test-boundaries.R: -------------------------------------------------------------------------------- 1 | test_that("state 20m albers", { 2 | expect_identical( 3 | boundaries( 4 | geography = "state", 5 | resolution = "20m", 6 | projection = "albers" 7 | ), 8 | state_20m_albers 9 | ) 10 | }) 11 | 12 | test_that("state 20m longlat", { 13 | expect_identical( 14 | boundaries( 15 | geography = "state", 16 | resolution = "20m", 17 | projection = "longlat" 18 | ), 19 | state_20m_longlat 20 | ) 21 | }) 22 | 23 | test_that("state 5m albers", { 24 | expect_identical( 25 | boundaries( 26 | geography = "state", 27 | resolution = "5m", 28 | projection = "albers" 29 | ), 30 | state_5m_albers 31 | ) 32 | }) 33 | 34 | test_that("state 5m longlat", { 35 | expect_identical( 36 | boundaries( 37 | geography = "state", 38 | resolution = "5m", 39 | projection = "longlat" 40 | ), 41 | state_5m_longlat 42 | ) 43 | }) 44 | 45 | test_that("state 500k albers", { 46 | expect_identical( 47 | boundaries( 48 | geography = "state", 49 | resolution = "500k", 50 | projection = "albers" 51 | ), 52 | state_500k_albers 53 | ) 54 | }) 55 | 56 | test_that("state 500k longlat", { 57 | expect_identical( 58 | boundaries( 59 | geography = "state", 60 | resolution = "500k", 61 | projection = "longlat" 62 | ), 63 | state_500k_longlat 64 | ) 65 | }) 66 | 67 | test_that("county 20m albers", { 68 | expect_identical( 69 | boundaries( 70 | geography = "county", 71 | resolution = "20m", 72 | projection = "albers" 73 | ), 74 | county_20m_albers 75 | ) 76 | }) 77 | 78 | test_that("county 20m longlat", { 79 | expect_identical( 80 | boundaries( 81 | geography = "county", 82 | resolution = "20m", 83 | projection = "longlat" 84 | ), 85 | county_20m_longlat 86 | ) 87 | }) 88 | 89 | test_that("county 5m albers", { 90 | expect_identical( 91 | boundaries( 92 | geography = "county", 93 | resolution = "5m", 94 | projection = "albers" 95 | ), 96 | county_5m_albers 97 | ) 98 | }) 99 | 100 | test_that("county 5m longlat", { 101 | expect_identical( 102 | boundaries( 103 | geography = "county", 104 | resolution = "5m", 105 | projection = "longlat" 106 | ), 107 | county_5m_longlat 108 | ) 109 | }) 110 | 111 | test_that("county 500k albers", { 112 | expect_identical( 113 | boundaries( 114 | geography = "county", 115 | resolution = "500k", 116 | projection = "albers" 117 | ), 118 | county_500k_albers 119 | ) 120 | }) 121 | 122 | test_that("county 500k longlat", { 123 | expect_identical( 124 | boundaries( 125 | geography = "county", 126 | resolution = "500k", 127 | projection = "longlat" 128 | ), 129 | county_500k_longlat 130 | ) 131 | }) 132 | 133 | test_that("cz 20m albers", { 134 | expect_identical( 135 | boundaries( 136 | geography = "cz", 137 | resolution = "20m", 138 | projection = "albers" 139 | ), 140 | cz_20m_albers 141 | ) 142 | }) 143 | 144 | test_that("cz 20m longlat", { 145 | expect_identical( 146 | boundaries( 147 | geography = "cz", 148 | resolution = "20m", 149 | projection = "longlat" 150 | ), 151 | cz_20m_longlat 152 | ) 153 | }) 154 | 155 | test_that("cz 5m albers", { 156 | expect_identical( 157 | boundaries( 158 | geography = "cz", 159 | resolution = "5m", 160 | projection = "albers" 161 | ), 162 | cz_5m_albers 163 | ) 164 | }) 165 | 166 | test_that("cz 5m longlat", { 167 | expect_identical( 168 | boundaries( 169 | geography = "cz", 170 | resolution = "5m", 171 | projection = "longlat" 172 | ), 173 | cz_5m_longlat 174 | ) 175 | }) 176 | 177 | test_that("cz 500k albers", { 178 | expect_identical( 179 | boundaries( 180 | geography = "cz", 181 | resolution = "500k", 182 | projection = "albers" 183 | ), 184 | cz_500k_albers 185 | ) 186 | }) 187 | 188 | test_that("cz 500k longlat", { 189 | expect_identical( 190 | boundaries( 191 | geography = "cz", 192 | resolution = "500k", 193 | projection = "longlat" 194 | ), 195 | cz_500k_longlat 196 | ) 197 | }) 198 | --------------------------------------------------------------------------------