| Title: | Create Bivariate Choropleth Maps with 'Leaflet' |
| Version: | 0.1.0 |
| 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. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Imports: | leaflet, dplyr, htmltools, rlang, sf |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, tidycensus, tidyr |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| Depends: | R (≥ 3.50) |
| NeedsCompilation: | no |
| Packaged: | 2024-12-18 18:50:51 UTC; mduprey |
| Author: | Michael Duprey [aut, cre], Chris Inkpen [ctb] |
| Maintainer: | Michael Duprey <mduprey@rti.org> |
| Repository: | CRAN |
| Date/Publication: | 2024-12-19 20:40:13 UTC |
Assign Colors Based on Tertiles
Description
Assign Colors Based on Tertiles
Usage
assign_colors(data, color_matrix)
Arguments
data |
A data frame containing tertile columns |
color_matrix |
A 3x3 matrix of colors |
Value
A data frame with added color column
Calculate Tertile Breaks
Description
Calculate Tertile Breaks
Usage
calculate_tertile_breaks(data, variable)
Arguments
data |
A data frame |
variable |
Character string naming the variable |
Value
A numeric vector of break points
Calculate Tertiles for Bivariate Variables
Description
Calculate Tertiles for Bivariate Variables
Usage
calculate_tertiles(data, var_1, var_2)
Arguments
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 |
Value
A data frame with added tertile columns
Create Bivariate Choropleth Map
Description
Create Bivariate Choropleth Map
Usage
create_bivariate_map(
data,
var_1,
var_2,
color_matrix = NULL,
custom_labels = NULL
)
Arguments
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 |
Value
A leaflet map object
Create Default Color Matrix for Bivariate Choropleth
Description
Creates a 3x3 color matrix with default colors for bivariate choropleth maps
Usage
create_default_color_matrix()
Value
A matrix of color hex codes
Washington DC Census Tract Data
Description
A dataset containing population and median household income for DC census tracts from ACS 2020. This dataset includes spatial information for creating choropleth maps.
Usage
dc_data()
Format
An sf object with the following variables:
- GEOID
Census tract identifier
- NAME
Census tract name
- B01003_001
Total population estimate from ACS
- B19013_001
Median household income estimate from ACS
- geometry
sf geometry column containing tract boundaries
Source
U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates, retrieved using tidycensus package
Examples
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
Description
Generate Legend HTML
Usage
generate_legend_html(var_1, var_2, var_1_breaks, var_2_breaks, color_matrix)
Arguments
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 |
Value
HTML string for legend