| Title: | Create Bivariate Choropleth Maps with 'Leaflet' |
|---|---|
| Description: | Creates bivariate choropleth maps using 'Leaflet'. This package provides tools for visualizing the relationship between two variables through a color matrix representation on an interactive map. |
| Authors: | Michael Duprey [aut, cre], Chris Inkpen [ctb] |
| Maintainer: | Michael Duprey <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 0.1.0 |
| Built: | 2025-04-03 05:24:12 UTC |
| Source: | https://github.com/maduprey/bivariateleaflet |
Assign Colors Based on Tertiles
assign_colors(data, color_matrix)assign_colors(data, color_matrix)
data |
A data frame containing tertile columns |
color_matrix |
A 3x3 matrix of colors |
A data frame with added color column
Calculate Tertile Breaks
calculate_tertile_breaks(data, variable)calculate_tertile_breaks(data, variable)
data |
A data frame |
variable |
Character string naming the variable |
A numeric vector of break points
Calculate Tertiles for Bivariate Variables
calculate_tertiles(data, var_1, var_2)calculate_tertiles(data, var_1, var_2)
data |
A data frame containing the variables to analyze |
var_1 |
Character string naming the first variable |
var_2 |
Character string naming the second variable |
A data frame with added tertile columns
Create Bivariate Choropleth Map
create_bivariate_map( data, var_1, var_2, color_matrix = NULL, custom_labels = NULL )create_bivariate_map( data, var_1, var_2, color_matrix = NULL, custom_labels = NULL )
data |
A spatial data frame |
var_1 |
Character string naming first variable |
var_2 |
Character string naming second variable |
color_matrix |
Optional custom color matrix |
custom_labels |
Optional vector of custom HTML labels for tooltips |
A leaflet map object
Creates a 3x3 color matrix with default colors for bivariate choropleth maps
create_default_color_matrix()create_default_color_matrix()
A matrix of color hex codes
A dataset containing population and median household income for DC census tracts from ACS 2020. This dataset includes spatial information for creating choropleth maps.
dc_data()dc_data()
An sf object with the following variables:
Census tract identifier
Census tract name
Total population estimate from ACS
Median household income estimate from ACS
sf geometry column containing tract boundaries
U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates, retrieved using tidycensus package
data(dc_data) # View the first few rows of non-geometric columns print(dc_data[1:5, c("GEOID", "B01003_001", "B19013_001")]) # Create a basic map if (interactive()) { map <- create_bivariate_map( data = dc_data, var_1 = "B01003_001", # Total population var_2 = "B19013_001" # Median household income ) }data(dc_data) # View the first few rows of non-geometric columns print(dc_data[1:5, c("GEOID", "B01003_001", "B19013_001")]) # Create a basic map if (interactive()) { map <- create_bivariate_map( data = dc_data, var_1 = "B01003_001", # Total population var_2 = "B19013_001" # Median household income ) }
Generate Legend HTML
generate_legend_html(var_1, var_2, var_1_breaks, var_2_breaks, color_matrix)generate_legend_html(var_1, var_2, var_1_breaks, var_2_breaks, color_matrix)
var_1 |
Character string naming first variable |
var_2 |
Character string naming second variable |
var_1_breaks |
Numeric vector of breaks for first variable |
var_2_breaks |
Numeric vector of breaks for second variable |
color_matrix |
Matrix of colors |
HTML string for legend