library(Rvoterdistance)
data(meck_ev)
head(early_meck)
head(voter_meck)
voter_sample <- voter_meck[1:50, ]
dboxes_sample <- early_meck[ ]
data1<- voter_sample
data2<- dboxes_sample
head(data1)
lat_long1_char<-c("lat", "long")
lat_long2_char<-c("lat", "long")
colnames(X)
head(X[,"lat"]) # latitude column
head(X[, c("lat", "long")])
X <- as.matrix( data1[,lat_long1_char] ) # Turn data into X, Y matrices to send to nearest_dbox2()
Y <- as.matrix( data2[, lat_long2_char] )
X
Y
nearest_dbox_goog(X,Y)
goog_results<- nearest_dbox_goog(X,Y, mode, value)
list_hold <- Rvoterdistance::nearest_dbox2(lat_lon1d = X, lat_lon2d = Y) # Execute nearest_dbox2, which is internal
distance_haversine <- list_hold$distance # extract distance
distance_mile <- Rvoterdistance::dist_mile(num_vec=distance_haversine, vec_only=TRUE) # Miles
distance_km <- Rvoterdistance::dist_km(num_vec=distance_haversine, vec_only=TRUE) # Kilometers
smorge <- data.frame(data1,data2[list_hold$rows,], distance_haversine, distance_mile, distance_km, goog_results) #Piece together
row.names(smorge) <-NULL # Clean up rownames
View(smorge)
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