I am trying to map a route using the route() function in ggmap. My problem is that the route doesn't stay on the roads. Is there something that my route_df <- route(origin, destination, structure = "route")
code is missing? Or is there an alternative function that can be used to accomplish this?
Sample code:
install_github("rstudio/leaflet")
library(ggmap)
library(leaflet)
way1txt <- "Tinsletown, Vancouver, BC"
way2txt <- "Science World, Vancouver, BC"
route_df <- route(way1txt, way2txt, structure = "route")
# Map using Leaflet R
m = leaflet() %>% addTiles()
m = m %>% addPolylines(route_df$lon, route_df$lat, fill = FALSE)
m = m %>% addPopups(route_df$lon[1], route_df$lat[1], 'Origin')
m = m %>% addPopups(route_df$lon[length(route_df$lon)],
route_df$lat[length(route_df$lon)], 'Destination')
m
Screenshot of map:
One such time is when it stops showing the route while navigating. 1. Check Mobile Data Google Maps requires a stable and constant internet connection to work properly. Therefore unless you’re not using offline maps, make sure that your phone’s internet is working properly.
In the Privacy menu, click on the Location services option. Step 2: Now tap on Maps from the list and turn on the ‘Precise Location’ option if it isn’t already. Again, open the Google Maps app and try navigation to see if the issue is resolved.
If you ask for Directions on the Google Maps app you might be presented with more than one route, Google would select the fastest one and there is no way to change that.
Except for rare or random occasions, dragging will move the entire map, not the route. Our automated system analyzes replies to choose the one that's most likely to answer the question. If it seems to be helpful, we may eventually mark it as a Recommended Answer. Helpful?
It looks like you are not actually getting the required polylines from route()
since the default output=
parameter is set to simple
. You probably need to change it to all
as below and start decoding the polylines.
Below is one solution that is based on the decodeLine()
function taken from here. Their solution is to define a custom function that decodes polylines and then plot everything it decoded.
library(ggmap)
library(leaflet)
way1txt <- "Tinsletown, Vancouver, BC"
way2txt <- "Science World, Vancouver, BC"
route_all <- route(way1txt, way2txt, structure = "route",
output = "all")
# Custom decode function
# Taken from http://s4rdd.blogspot.com/2012/12/google-maps-api-decoding-polylines-for.html
decodeLine <- function(encoded){
require(bitops)
vlen <- nchar(encoded)
vindex <- 0
varray <- NULL
vlat <- 0
vlng <- 0
while(vindex < vlen){
vb <- NULL
vshift <- 0
vresult <- 0
repeat{
if(vindex + 1 <= vlen){
vindex <- vindex + 1
vb <- as.integer(charToRaw(substr(encoded, vindex, vindex))) - 63
}
vresult <- bitOr(vresult, bitShiftL(bitAnd(vb, 31), vshift))
vshift <- vshift + 5
if(vb < 32) break
}
dlat <- ifelse(
bitAnd(vresult, 1)
, -(bitShiftR(vresult, 1)+1)
, bitShiftR(vresult, 1)
)
vlat <- vlat + dlat
vshift <- 0
vresult <- 0
repeat{
if(vindex + 1 <= vlen) {
vindex <- vindex+1
vb <- as.integer(charToRaw(substr(encoded, vindex, vindex))) - 63
}
vresult <- bitOr(vresult, bitShiftL(bitAnd(vb, 31), vshift))
vshift <- vshift + 5
if(vb < 32) break
}
dlng <- ifelse(
bitAnd(vresult, 1)
, -(bitShiftR(vresult, 1)+1)
, bitShiftR(vresult, 1)
)
vlng <- vlng + dlng
varray <- rbind(varray, c(vlat * 1e-5, vlng * 1e-5))
}
coords <- data.frame(varray)
names(coords) <- c("lat", "lon")
coords
}
route_df <- decodeLine( route_all$routes[[1]]$overview_polyline$points )
# Map using Leaflet R
m = leaflet() %>% addTiles()
m = m %>% addPolylines(route_df$lon, route_df$lat, fill = FALSE)
m = m %>% addPopups(route_df$lon[1], route_df$lat[1], 'Origin')
m = m %>% addPopups(route_df$lon[length(route_df$lon)],
route_df$lat[length(route_df$lon)], 'Destination')
m
And I get this:
For reference, there is another decodeLine
function here written by @diegovalle.
You can use my googleway
package
library(googleway)
apiKey <- 'your_api_key'
mapKey <- 'your_maps_api_key'
res <- google_directions(origin = "Tinsletown, Vancouver, BC",
destination = "Science World, Vancouver, BC",
key = apiKey)
The polyline is in res$routes$overview_polyline$points
You can decode the polyline if you want
pl <- res$routes$overview_polyline$points
decode_pl(pl)
# lat lon
# 1 49.28025 -123.1076
# 2 49.27969 -123.1076
# 3 49.27823 -123.1076
# 4 49.27711 -123.1077
# 5 49.27707 -123.1043
But you don't have to, you can plot the line directly
df <- data.frame(polyline = pl)
google_map(key = mapKey, search_box = T) %>%
add_polylines(data = df, polyline = "polyline")
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