我想制作一个闪亮的应用程序,要求两个地址,映射一个有效的路线,并计算路线的总距离。这可以使用Leaflet Routing Machine使用javascript库来完成,但是我想对路径的距离进行一系列进一步的计算,并将它们全部嵌入到闪亮的应用程序中。
您可以通过Ramnathv here的演示使用rMaps生成地图。但即使我可以看到它已经在图例或控制器中计算出来,我也无法拉出行进的总距离。关于如何使用javascript库进行另一个讨论 - 请参阅here。他们讨论使用这个javascript代码:
alert('Distance: ' + routes[0].summary.totalDistance);
这是我的rMap工作代码。如果有人对如何拉出路线的总距离并存储它有任何想法,我将非常感激。谢谢!
# INSTALL DEPENDENCIES IF YOU HAVEN'T ALREADY DONE SO
library(devtools)
install_github("ramnathv/rCharts@dev")
install_github("ramnathv/rMaps")
# CREATE FUNCTION to convert address to coordinates
library(RCurl)
library(RJSONIO)
construct.geocode.url <- function(address, return.call = "json", sensor = "false") {
root <- "http://maps.google.com/maps/api/geocode/"
u <- paste(root, return.call, "?address=", address, "&sensor=", sensor, sep = "")
return(URLencode(u))
}
gGeoCode <- function(address,verbose=FALSE) {
if(verbose) cat(address,"\n")
u <- construct.geocode.url(address)
doc <- getURL(u)
x <- fromJSON(doc)
if(x$status=="OK") {
lat <- x$results[[1]]$geometry$location$lat
lng <- x$results[[1]]$geometry$location$lng
return(c(lat, lng))
} else {
return(c(NA,NA))
}
}
# GET COORDINATES
x <- gGeoCode("Vancouver, BC")
way1 <- gGeoCode("645 East Hastings Street, Vancouver, BC")
way2 <- gGeoCode("2095 Commercial Drive, Vancouver, BC")
# PRODUCE MAP
library(rMaps)
map = Leaflet$new()
map$setView(c(x[1], x[2]), 16)
map$tileLayer(provider = 'Stamen.TonerLite')
mywaypoints = list(c(way1[1], way1[2]), c(way2[1], way2[2]))
map$addAssets(
css = "http://www.liedman.net/leaflet-routing-machine/dist/leaflet-routing-machine.css",
jshead = "http://www.liedman.net/leaflet-routing-machine/dist/leaflet-routing-machine.js"
)
routingTemplate = "
<script>
var mywaypoints = %s
L.Routing.control({
waypoints: [
L.latLng.apply(null, mywaypoints[0]),
L.latLng.apply(null, mywaypoints[1])
]
}).addTo(map);
</script>"
map$setTemplate(
afterScript = sprintf(routingTemplate, RJSONIO::toJSON(mywaypoints))
)
# map$set(width = 800, height = 800)
map
答案 0 :(得分:1)
您可以通过google maps api轻松创建路线。返回的数据框将具有距离信息。总结一下腿的总距离。
library(ggmap)
x <- gGeoCode("Vancouver, BC")
way1txt <- "645 East Hastings Street, Vancouver, BC"
way2txt <- "2095 Commercial Drive, Vancouver, BC"
route_df <- route(way1txt, way2txt, structure = 'route')
dist<-sum(route_df[,1],na.rm=T) # total distance in meters
#
qmap(c(x[2],x[1]), zoom = 12) +
geom_path(aes(x = lon, y = lat), colour = 'red', size = 1.5, data = route_df, lineend = 'round')