在有光泽/传单中选择和取消选择折线 [英] Select and Deselect Polylines in Shiny/Leaflet

问题描述

我解决了劳伦的问题. 使用Leaflet选择和取消选择多个多边形时更改样式/闪亮 唯一的区别是我使用折线而不是多边形.我想选择多条折线，然后再次单击以取消选择它们.但这不起作用.它从表中删除了重新选择的内容，但从地图中删除了该内容，并且从我选择的行中删除了一条线后，我再也无法选择它.

I solved my problem as Lauren. Changing styles when selecting and deselecting multiple polygons with Leaflet/Shiny The only difference is that I use polylines instead of polygons. I want to select multiple polylines und deselect them at click again. But it doesn't work..it deletes the reselected from the table but not from the map and after a line was deleted from my selected lines I can't select it anymore.

有人可以帮我吗！

数据

这是我的代码:

library(shiny)
library(leaflet)
library(geojsonio)

url <- "pathTogeojson"

geojson <- geojsonio::geojson_read(url, what = "sp") 

shinyApp(
  ui <- fluidRow(
        leafletOutput("map")),

  server <- function(input, output, session) {

    click_list <- reactiveValues(ids = vector())  

    output$map <- renderLeaflet({
      leaflet() %>% 
        addTiles() %>% 
        setView(lng=16.357795000076294, lat=48.194883921677935, zoom = 15) %>%
        addPolylines(data=geojson, layerId = geojson@data$name_1, group = "selected", color="red", weight=3,opacity=1)
    })

    observeEvent(input$map_shape_click, {

      click <- input$map_shape_click
      proxy <- leafletProxy("map")
      click_list$ids <- c(click_list$ids, click$id)

      sel_lines <- geojson[geojson@data$name_1 %in% click_list$ids, ]

      if(click$id %in% sel_lines@data$id)
      {
        nameMatch <- sel_lines@data$name_1[sel_lines@data$id == click$id]
        click_list$ids <- click_list$ids[!click_list$ids %in% click$id] 
        click_list$ids <- click_list$ids[!click_list$ids %in% nameMatch]

        proxy %>% removeShape(layerId = click$id)
      }
      else
      {
        proxy %>% addPolylines(data = sel_lines, layerId = sel_lines@data$id, color="#6cb5bc", weight=5,opacity=1)
      }
    })
  })

推荐答案

我自己找到了解决方案.我的数据和我的不理解是问题所在.它仅在所有使用的列均为character类型时有效...所以我不得不使用as.character()

I found the solution by my own..my data and my incomprehension were the problem. It only works, when all used columns are type character...so i had to do a type conversion with as.character()

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