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An app to compare redlining methods across all redlined cities.

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holcmapr: An Application for Comparing Redlining Mapping Methodologies

Overview

holcmapr is an R package that provides a Shiny application for implementing and comparing methods of mapping Home Owners' Loan Corporation (HOLC) redlining map neighborhoods to present-day 2020 census tracts for all redlined cities. To learn more about redlining and look through the original HOLC maps, please see the Mapping Inequality website. For more information about these methods, please see our publication, Evaluating Methods for Mapping Historical Redlining to Census Tracts for Health Equity Research.

Note that this package only includes cities that have been mapped to HOLC grades (A - D and E). Other cities with alternative mapping schemes (such as Arkadelphia, AK) are not included; however, the evaluated methodologies should still be considered. For more information about these cities, please see Mapping Inequality, linked above. This uses the Mapping Inequality release version 3.2 as of August 26, 2024.

Additionally, note that this uses 2020 census tracts for boundaries. For 2010 census tracts, please see v0.0.1.

If you use this package in your work, please cite us:

De los Santos, H., Bezold, C.P., Jiang, K.M. et al. Evaluating Methods for Mapping Historical Redlining to Census Tracts for Health Equity Research. J Urban Health 101, 392–401 (2024). https://doi.org/10.1007/s11524-024-00841-3

Installation

To install the development version of this package from GitHub:

# uncomment the next line if you don't have devtools installed
# install.packages("devtools")
devtools::install_github("mitre/holcmapr")

Comparing Redlining Mapping Methodologies

holcmapr compares published methods and logical extensions of published methods by 3 aspects: method type, contribution, and cutoff in the following workflow:

mapping_method_flowchart

These can be customized for comparison for census tracts within holcmapr's main application.

Published methods include:

Usage and Features

holcmapr's main function is a Shiny app, which can be accessed by running the following in R:

library(holcmapr)

run_holcmapr()

You should then see the holcmapr app below:

holcmapr_app

holcmapr allows users to compare:

  • Comparison of city boundaries to original HOLC neighborhoods, and the alignment of HOLC graded areas and populations
  • Selected methodology mapping results
  • HOLC neighborhood coverage by each method
  • Univariate linear association fits by each method, including p-value and R^2 value, for a selected health outcome (life expectancy, mental health, or physical health)

The results with mapping for each method are also available for download by CSV, for use outside the application, such as research contexts.

Data Sources & Citation

If you're using holcmapr or any of its content, please cite us and let us know you're using it at [email protected]. To see citation information for holcmapr, enter the following in the console window:

citation("holcmapr")

which outputs citations used in default format:

  De los Santos, H., Bezold, C.P., Jiang, K.M. et al. Evaluating Methods
  for Mapping Historical Redlining to Census Tracts for Health Equity
  Research. J Urban Health 101, 392–401 (2024).
  https://doi.org/10.1007/s11524-024-00841-3

  Robert K. Nelson, LaDale Winling, Richard Marciano, Nathan Connolly, et
  al., “Mapping Inequality,” American Panorama, ed. Robert K. Nelson and
  Edward L. Ayers, accessed November 28, 2022,
  https://dsl.richmond.edu/panorama/redlining/

  GeoNames (2024). GeoNames Postal Code Files. Accessed: 2024-11-1.
  <https://download.geonames.org/export/zip/>

  United States Census Bureau (2020). Centers of Population (2020).
  Accessed: 2024-11-1.
  <https://www.census.gov/geographies/reference-files/time-series/geo/centers-population.2020.html>

  Arias E, Escobedo LA, Kennedy J, Fu C, Cisewski J. U.S. Small-area Life
  Expectancy Estimates Project: Methodology and Results Summary. National
  Center for Health Statistics. Vital Health Stat 2(181). 2018.

  PLACES. Centers for Disease Control and Prevention. Accessed 2024-11-1.
  https://www.cdc.gov/places

Instructions for citations related to pieces of the package can be found in that format as well.

The data sources used in this package are:

Contact & Attribution

For any questions or concerns, please contact the maintainer for this package, Hannah De los Santos ([email protected]).

Approved for Public Release; Distribution Unlimited. Public Release Case Number 22-4028. ©2024 The MITRE Corporation. ALL RIGHTS RESERVED.