tract_choropleth | R Documentation |
Create a choropleth map using census tract level data for a given state.
tract_choropleth(
df,
state_name,
geoid.name = "region",
geoid.type = "auto",
value.name = "value",
num_colors = 7,
color.max = NULL,
color.min = NULL,
na.color = "grey",
custom.colors = NULL,
nbreaks = 5,
tract_zoom = NULL,
county_zoom = NULL,
projection = "cartesian",
border_color = "grey15",
border_thickness = 0.2,
background_color = "white",
gridlines = FALSE,
latlon_ticks = FALSE,
whitespace = TRUE,
label = NULL,
label_text_size = 2.25,
label_text_color = "black",
label_box_color = "white",
ggrepel_options = NULL,
legend = NULL,
legend_position = "right",
title = NULL,
return = "plot"
)
df |
A dataframe containing census tract level data for a given state. |
state_name |
The state in question, given by either proper name, abbreviation, or FIPS code. |
geoid.name |
The variable that identifies each tract. |
geoid.type |
How the variable given by geoid.name specifies each tract; the allowed geoid.type are given by the columns "AFFGEOID", "GEOID", or "tractid.numeric" variable obtained from get_tract_map(). If "auto", the function will try to automatically determine geoid.type. |
value.name |
The name of the variable you wish to plot. |
num_colors |
The number of colors you want in your graph when plotting continuous data. If num_colors > 1, the variable in question will be divided into quantiles and converted into a factor with that many levels. If num_colors = 1, a continuous color gradient will be used; if num_colors = 0, a diverging color gradient will be used (useful for visualizing negative and positive numbers). Use color.max and color.min to control the range of colors displayed. num_colors is ignored when plotting categorical data. |
color.max |
The color of the highest value in your data. Ignored if the plotted variable is categorical. |
color.min |
The color of the lowest value in your data. Ignored if the plotted variable is categorical. |
na.color |
The color you want to assign for regions with missing data |
custom.colors |
A vector of valid R color terms of the to use for the map when plotting factor variables. The length of this vector must match the number of levels in your factor variable, or num_colors for a continuous variable that will be discretized by the function, and the order should match the order of the levels of in your factor variable. |
nbreaks |
The number of breaks you wish to show in the legend when using a continuous color scale. Ignored if num_colors > 1. |
tract_zoom |
An optional vector of tracts to zoom in on, written in the same manner as geoid.name. |
county_zoom |
An optional vector of countries to zoom in on, written as they appear in the "county.fips.numeric" column of the object returned from get_tract_map(). |
projection |
One of the following: "cartesian", "mercator", "robinson", or "albers", for equirectangular, Mercator, Robinson, and Albers Equal Area projections, respectively. When using the Mercator projection for world maps, setting limits_lon is recommended to prevent exaggeration of the size of Antarctica. |
border_color |
The color of the borders on your map |
border_thickness |
The thickness of the borders on your map |
background_color |
The background color of your map |
gridlines |
Should gridlines appear on your map? |
latlon_ticks |
Should lat/lon tick marks appear on the edge of your map? |
whitespace |
Add some blank space to the sides of your map? For some projections, this must be set to FALSE in order for lat/lon ticks and display correctly. |
label |
The name of variable you wish to use to label your map; must be one of the variables that appears in the spatial dataframe just prior plotting (use return = 'sf' to see this dataframe), and in general, can be any of the allowed geoid.type. This function uses ggplot2::geom_label_repel to create the labels and ensure that they do not overlap. |
label_text_size |
The size of the text that will appear in each label |
label_text_color |
The color of the text that will appear in each label |
label_box_color |
The color of the box around each label |
ggrepel_options |
A list containing additional arguments to be passed to geom_label_repel (see ?ggplot2::geom_label_repel) |
legend |
A title for your legend; if NULL, value.name will be used. |
legend_position |
The position of your legend relative to the rest of the map; can be "top", "bottom", "left", or "right". |
title |
A title for your plot; if NULL, no title will be added. |
return |
If "plot", the function will return the requested map as a ggplot object. If "sf", the function will return the spatial dataframe used to draw the map (useful if you wish to customize the map yourself). |
https://www.census.gov/data/academy/data-gems/2018/tract.html for more information on Census Tracts
# Plot tract level data from New York state:
df_ny_tract_demographics = choroplethr::df_ny_tract_demographics
tract_choropleth(df = df_ny_tract_demographics, state_name = 'NY',
geoid.name = 'region', value.name = 'population')
# Zoom in on the five counties that comprise New York City:
tract_choropleth(df = df_ny_tract_demographics, state_name = 'NY',
geoid.name = 'region', value.name = 'population',
county_zoom = c(36005, 36047, 36061, 36081, 36085))
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