Voter Distance to Polling Locations

Calculates the distance between each voter in a voter file (given lat/long coordinates or sf point geometries) and multiple polling or vote-by-mail drop box locations. Returns nearest location, k-nearest locations, or all locations within a distance threshold. Core computation uses the Haversine formula implemented in C++ via 'Rcpp'.


Rvoterdistance

Calculates the geographic distance between voters in a voter file and multiple polling or vote-by-mail drop box locations using the Haversine (great-circle) formula. Core computation is implemented in C++ via Rcpp for speed.

Features

  • Nearest location: find the single closest polling place for each voter
  • k-nearest locations: find the k closest locations per voter
  • Distance threshold: find all locations within a specified radius (e.g., all drop boxes within 5 miles)
  • sf integration: pass sf POINT geometries directly with automatic CRS transformation to WGS-84
  • Progress reporting: optional progress output for large voter files
  • Units: results in meters, kilometers, and miles

Installation

# From GitHub:
remotes::install_github("lorenc5/Rvoterdistance")

Quick Start

library(Rvoterdistance)
data(meck_ev)

# Nearest early voting location for each voter
result <- nearest_location(voter_meck, early_meck,
  voter_coords = c("lat", "long"),
  location_coords = c("lat", "long"))
head(result)

# 3 nearest locations per voter
result_k3 <- nearest_location(voter_meck, early_meck,
  voter_coords = c("lat", "long"),
  location_coords = c("lat", "long"),
  k = 3)

# All locations within 5 miles
result_5mi <- nearest_location(voter_meck, early_meck,
  voter_coords = c("lat", "long"),
  location_coords = c("lat", "long"),
  max_dist = 5, units = "miles")

Main Functions

Function Description
nearest_location() Main entry point. Supports k-nearest, distance threshold, sf objects.
dist_km() Minimum distance to nearest location in kilometers.
dist_mile() Minimum distance to nearest location in miles.
haversine() Single-pair great-circle distance with configurable units.

Using sf Objects

library(sf)
voters_sf <- st_as_sf(voter_meck, coords = c("long", "lat"), crs = 4326)
locs_sf   <- st_as_sf(early_meck, coords = c("long", "lat"), crs = 4326)

result <- nearest_location(voters_sf, locs_sf)

If the CRS is not WGS-84 (EPSG:4326), coordinates are automatically transformed.

Included Data

  • king_dbox / king_geo: King County, WA ballot drop box locations and voter sample
  • meck_ev (voter_meck / early_meck): Mecklenburg County, NC early voting locations and voter sample

Citation

Collingwood, Loren. 2026. Rvoterdistance: Voter Distance to Polling Locations. R package version 2.0.0. https://github.com/lorenc5/Rvoterdistance

License

GPL (>= 2)

Reference manual

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install.packages("Rvoterdistance")

2.0.0 by Loren Collingwood, 5 months ago


https://github.com/lorenc5/Rvoterdistance


Report a bug at https://github.com/lorenc5/Rvoterdistance/issues


Browse source code at https://github.com/cran/Rvoterdistance


Authors: Loren Collingwood [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Suggests sf, testthat, knitr, rmarkdown

Linking to Rcpp


See at CRAN