我正在尝试基于具有航线路线的数据集在世界地图上绘制航线路线(每条路线一行,结构为source_airport_longitude,source_airport_latitude,dest_airport_longitude,dest_airport,纬度)。但是,折线会创建连续的线条,而不是每行的单独线条。您对如何处理此问题有什么建议吗?
filteredData <- reactive({
dt.routes.small[source_airport == input$airport]
})
output$map <- renderLeaflet({
leaflet(data = dt.routes.small) %>%
addTiles() %>%
addPolylines(lng = c(dt.routes.small$source_airport_longitude,
dt.routes.small$dest_airport_longitude),
lat = c(dt.routes.small$source_airport_latitude,
dt.routes.small$dest_airport_latitude)
)
})
observe({
leafletProxy("map") %>%
clearShapes() %>%
addPolylines(lng = c(filteredData()$source_airport_longitude,
filteredData()$dest_airport_longitude),
lat = c(filteredData()$source_airport_latitude,
filteredData()$dest_airport_latitude)
)
})
数据集:
> head(dt.routes.small, 10)
source_airport dest_airport
1 MAG GKA
2 HGU GKA
3 LAE GKA
4 POM GKA
5 POM GKA
6 GKA MAG
7 HGU MAG
8 LAE MAG
9 POM MAG
10 WWK MAG
source_airport_name dest_airport_name
1 Madang Airport Goroka Airport
2 Mount Hagen Kagamuga Airport Goroka Airport
3 Nadzab Airport Goroka Airport
4 Port Moresby Jacksons International Airport Goroka Airport
5 Port Moresby Jacksons International Airport Goroka Airport
6 Goroka Airport Madang Airport
7 Mount Hagen Kagamuga Airport Madang Airport
8 Nadzab Airport Madang Airport
9 Port Moresby Jacksons International Airport Madang Airport
10 Wewak International Airport Madang Airport
source_airport_city dest_airport_city source_airport_country
1 Madang Goroka Papua New Guinea
2 Mount Hagen Goroka Papua New Guinea
3 Nadzab Goroka Papua New Guinea
4 Port Moresby Goroka Papua New Guinea
5 Port Moresby Goroka Papua New Guinea
6 Goroka Madang Papua New Guinea
7 Mount Hagen Madang Papua New Guinea
8 Nadzab Madang Papua New Guinea
9 Port Moresby Madang Papua New Guinea
10 Wewak Madang Papua New Guinea
dest_airport_country source_airport_longitude
1 Papua New Guinea 145.789
2 Papua New Guinea 144.296
3 Papua New Guinea 146.726
4 Papua New Guinea 147.220
5 Papua New Guinea 147.220
6 Papua New Guinea 145.392
7 Papua New Guinea 144.296
8 Papua New Guinea 146.726
9 Papua New Guinea 147.220
10 Papua New Guinea 143.669
source_airport_latitude dest_airport_longitude dest_airport_latitude
1 -5.207080 145.392 -6.08169
2 -5.826790 145.392 -6.08169
3 -6.569803 145.392 -6.08169
4 -9.443380 145.392 -6.08169
5 -9.443380 145.392 -6.08169
6 -6.081690 145.789 -5.20708
7 -5.826790 145.789 -5.20708
8 -6.569803 145.789 -5.20708
9 -9.443380 145.789 -5.20708
10 -3.583830 145.789 -5.20708
n_airlines distance airline_name id
1 1 107 Airlines PNG 1
2 1 125 Airlines PNG 2
3 1 157 Airlines PNG 3
4 2 425 Air Niugini 4
5 2 425 Airlines PNG 5
6 1 107 Airlines PNG 6
7 1 179 Airlines PNG 7
8 1 184 Airlines PNG 8
9 1 497 Air Niugini 9
10 2 297 Air Niugini 10
>
答案 0 :(得分:2)
这里最简单的可能是将您的数据转换为Lines
包中的sp
对象并使用addPolylines
:
rm(list=ls())
data <- data.frame(source_airport=c("MAG","HGU","CDG"),dest_airport=c("DKA","DKA","JFK"),
source_airport_longitude=c(145.789,144.296,2.538),
source_airport_latitude=c(-5.207080,-5.826790,49.008),
dest_airport_longitude=c(145.392,145.392,-73.49),
dest_airport_latitude=c(-6.08169,-6.08169,40.38),
id=c(1,2,4),stringsAsFactors = F)
flights_lines <- apply(data,1,function(x){
points <- data.frame(lng=as.numeric(c(x["source_airport_longitude"],
x["dest_airport_longitude"])),
lat=as.numeric(c(x["source_airport_latitude"],
x["dest_airport_latitude"])),stringsAsFactors = F)
coordinates(points) <- c("lng","lat")
Lines(Line(points),ID=x["id"])
})
row.names(data) <- data$id
flights_lines <- SpatialLinesDataFrame(SpatialLines(flights_lines),data)
leaflet() %>%
addTiles() %>%
addPolylines(data=flights_lines,label=~as.character(id))