#' An R6 object for creating choropleths of Utah Census Tracts.
#' @export
#' @importFrom dplyr left_join
#' @importFrom R6 R6Class
#' @importFrom choroplethr Choropleth
UtTractChoropleth = R6::R6Class("UtTractChoropleth",
inherit = choroplethr::Choropleth,
public = list(
# initialize with a map of Utah Census Tracts
initialize = function(user.df)
{
data(ut.tract.map, package="choroplethrUTCensusTract", envir=environment())
super$initialize(ut.tract.map, user.df)
if (private$has_invalid_regions)
{
warning("Please see ?ut.tract.regions for a list of mappable regions")
}
},
# All zooms, at the end of the day, are zip zooms. But often times it is more natural
# for users to specify the zoom in other geographical units
# This function name is a bit of a hack - it seems like I cannot override the parent set_zoom directly
# because this function has a different number of parameters than that function, and the extra parameters
# seeming just disappear
set_zoom_tract = function(county_zoom, tract_zoom)
{
# user can zoom by at most one of these options
num_zooms_selected = sum(!is.null(c(county_zoom, tract_zoom)))
if (num_zooms_selected > 1) {
stop("You can only zoom in by one of county_zoom or tract_zoom")
}
data(ut.tract.regions, package="choroplethrUTCensusTract", envir=environment())
# if the zip_zoom field is selected, just do default behavior
if (!is.null(tract_zoom)) {
super$set_zoom(tract_zoom)
# if county_zoom field is selected, extract zips from counties
} else if (!is.null(county_zoom)) {
stopifnot(all(county_zoom %in% unique(ut.tract.regions$county.fips.numeric)))
tracts = ut.tract.regions[ut.tract.regions$county.fips.numeric %in% county_zoom, "region"]
super$set_zoom(tracts)
}
}
)
)
#' Create a choropleth of US Census Tracts in Utah
#'
#' @param df A data frame with a column named "region" and a column named "value". Elements in
#' the "region" column must exactly match how census tracts are labelled in the "region" column in ?ut.tract.regions
#' @param title An optional title for the map.
#' @param legend An optional name for the legend.
#' @param num_colors The number of colors on the map. A value of 1
#' will use a continuous scale. A value in [2, 9] will use that many colors.
#' @param tract_zoom An optional vector of tracts to zoom in on. Elements of this vector must exactly
#' match the names of tracts as they appear in the "region" column of ?ut.tract.regions.
#' @param county_zoom An optional vector of county FIPS codes to zoom in on. Elements of this
#' vector must exactly match the names of counties as they appear in the "county.fips.numeric" column
#' of ?ut.tract.regions.
#' @param reference_map If true, render the choropleth over a reference map from Google Maps.
#'
#' @seealso \url{https://www.census.gov/geo/reference/gtc/gtc_ct.html} for more information on Census Tracts
#' @export
#' @importFrom Hmisc cut2
#' @importFrom stringr str_extract_all
#' @importFrom ggplot2 ggplot aes geom_polygon scale_fill_brewer ggtitle theme theme_grey element_blank geom_text
#' @importFrom ggplot2 scale_fill_continuous scale_colour_brewer
#' @importFrom scales comma
#' @examples
#' # zoom in on Salt Lake, which has FIPS code 49035
#' data(df_pop_ut_tract)
#' ut_tract_choropleth(df_pop_ut_tract,
#' title = "2013 Salt Lake Census Tract\n Population Estimates",
#' legend = "Population",
#' county_zoom = 49035)
#'
#' # add a reference map
#' ut_tract_choropleth(df_pop_ut_tract,
#' title = "2013 Salt Lake Census Tract\n Population Estimates",
#' legend = "Population",
#' county_zoom = 49035,
#' reference_map = TRUE)
#'
#' \dontrun{
#'
#' ut_tract_choropleth(df_pop_ut_tract,
#' title = "2013 Utah Census Tract\n Population Estimates",
#' legend = "Population")
#'
#' # 2013 per capita income estimate
#' data(df_ut_tract_demographics)
#' df_ut_tract_demographics$value = df_ut_tract_demographics$per_capita
#' ut_tract_choropleth(df_ut_tract_demographics,
#' title = "2013 Salt Lake Census Tract\n Per Capita Income",
#' legend = "Income",
#' num_colors = 4,
#' county_zoom = 49035,
#' reference_map = TRUE)
#' }
ut_tract_choropleth = function(df,
title = "",
legend = "",
num_colors = 7,
tract_zoom = NULL,
county_zoom = NULL,
reference_map = FALSE)
{
c = UtTractChoropleth$new(df)
c$title = title
c$legend = legend
c$set_zoom_tract(tract_zoom = tract_zoom, county_zoom = county_zoom)
c$set_num_colors(num_colors)
if (reference_map) {
c$render_with_reference_map()
} else {
c$render()
}
}
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