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.
sf POINT
geometries directly with automatic CRS transformation to WGS-84# From GitHub:
remotes::install_github("lorenc5/Rvoterdistance")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")| 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. |
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.
Collingwood, Loren. 2026. Rvoterdistance: Voter Distance to Polling Locations. R package version 2.0.0. https://github.com/lorenc5/Rvoterdistance
GPL (>= 2)