Rvoterdistance (version 1.1)

dist_km: Calculates nearest drop box or polling location, in kilometers

Description

Given a set of lat-long coordinates for each voter, and a set of coordinates for all drop boxes or polling locations; OR a vector of haversine distances from nearest_dbox(), calculates the nearest drop box or polling location for each voter in kilometers.

Usage

dist_km(lat1d_vec, lon1d_vec, lat2d_vec, lon2d_vec, num_vec=NULL, vec_only=FALSE)

Arguments

lat1d_vec

Numeric vector, latitude coordinate of voter

lon1d_vec

Numeric vector, longitude coordinate of voter

lat2d_vec

Numeric vector, latitude coordinate of drop box, polling location

lon2d_vec

Numeric vector, longitude coordinate of drop box, polling location

num_vec

Numeric vector, haversine output, default is NULL however.

vec_only

Logical, default is FALSE, set to TRUE if putting in Haversine output already calculated from nearest_dbox()

Value

A numeric vector of minimum distances for each voter to their nearest drop box or polling location, in kilometers

References

Haversine: CC Robusto, 1957

See Also

dist_mile, nearest_dbox

Examples

data(meck_ev)
# Voter and early vote location, Mecklenburg County
hav_meck <- nearest_dbox (voter_meck$lat, voter_meck$long,
				early_meck$lat, early_meck$long)
summary(hav_meck)
hav_km <- dist_km(num_vec=hav_meck, vec_only=TRUE)
head(hav_km)

# Calculate mile distance directly
have_km2 <- dist_km (voter_meck$lat, voter_meck$long,
				early_meck$lat, early_meck$long)
head(have_km2)