## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ library(usmap) library(ggplot2) plot_usmap(regions = "counties") + labs(title = "US Counties", subtitle = "This is a blank map of the counties of the United States.") + theme(panel.background = element_rect(color = "black", fill = "lightblue")) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ library(usmap) library(ggplot2) plot_usmap(include = c("CA", "ID", "NV", "OR", "WA")) + labs(title = "Western US States", subtitle = "These are the states in the Pacific Timezone.") ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ library(usmap) library(ggplot2) plot_usmap(data = statepop, values = "pop_2022", color = "red") + scale_fill_continuous(name = "Population (2022)", label = scales::comma) + theme(legend.position = "right") ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ library(usmap) library(ggplot2) plot_usmap(data = statepop, values = "pop_2022", color = "red") + scale_fill_continuous( low = "white", high = "red", name = "Population (2022)", label = scales::comma ) + theme(legend.position = "right") ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ library(usmap) library(ggplot2) plot_usmap( data = statepop, values = "pop_2022", include = c("CA", "ID", "NV", "OR", "WA"), color = "red" ) + scale_fill_continuous( low = "white", high = "red", name = "Population (2022)", label = scales::comma ) + labs(title = "Western US States", subtitle = "These are the states in the Pacific Timezone.") + theme(legend.position = "right") ## ----fig.show='hide', message=FALSE, warning=FALSE---------------------------- df <- data.frame( fips = c("02", "01", "05", "04"), values = c(14, 18, 19, 8) ) plot_usmap(data = df) ## ----fig.show='hide', message=FALSE, warning=FALSE---------------------------- df <- data.frame( fips = c("02", "01", "05", "04"), population = c(14, 18, 19, 8) ) plot_usmap(data = df, values = "population") ## ----fig.show='hide', message=FALSE, warning=FALSE---------------------------- df <- data.frame( state = c("AL", "Alaska", "AR", "AZ"), values = c(14, 18, 19, 8) ) plot_usmap(data = df) ## ----fig.show='hide', message=FALSE, warning=FALSE---------------------------- df <- data.frame( fips = c("10001", "10003", "10005"), values = c(93, 98, 41) ) plot_usmap(data = df) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ usmap::plot_usmap(include = .south_region) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ usmap::plot_usmap(include = .east_south_central) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ usmap::plot_usmap(include = .south_region, exclude = .east_south_central) ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ usmap::plot_usmap("counties", include = c(.south_region, "IA"), exclude = c(.east_south_central, "12")) # 12 = FL ## ----fig.align='center', fig.width=7, message=FALSE, warning=FALSE------------ usmap::plot_usmap("counties", fill = "yellow", alpha = 0.25, # 06065 = Riverside County, CA include = c(.south_region, "IA", "06065"), # 12 = FL, 48141 = El Paso County, TX exclude = c(.east_south_central, "12", "48141")) ## ----------------------------------------------------------------------------- .new_england .mid_atlantic .east_north_central .west_north_central .south_atlantic .east_south_central .west_south_central .mountain .pacific ## ----------------------------------------------------------------------------- .northeast_region # c(.new_england, .mid_atlantic) .north_central_region # c(.east_north_central, .west_north_central) .midwest_region # .north_central_region (renamed in June 1984) .south_region # c(.south_atlantic, .east_south_central, .west_south_central) .west_region # c(.mountain, .pacific) ## ----------------------------------------------------------------------------- str(usmap::us_map()) ## ----------------------------------------------------------------------------- str(usmap::us_map(regions = "counties"))