编辑 tmap/leaflet/shiny 的默认设置（弹出窗口和图块）

Question

我正在使用 tmap、传单和闪亮创建巴斯克地区（西班牙）的交互式地图。我已经能够创建地图，但无法编辑 renderLeaflet 的默认行为，具体来说：

1. 我想编辑默认标签和弹出窗口。理想情况下，我不希望弹出窗口（单击时），只希望标签（鼠标悬停时）；标签将包含弹出窗口中当前显示的信息以及一些附加信息，并显示在地图的右上角而不是该区域上（类似这样https://leafletjs.com/examples/choropleth/）

2. 我想删除传单图块，以便仅显示 Esri.WorldGrayCanvas，因此，应该没有在图块之间切换的选项。

以下代码显示了我在说什么。所需的形状文件可以在此处下载 ftp://ftp.geo.euskadi.net/cartografia/Limites/ 或此处 https://www.dropbox.com/s/zx3bg5131pomyfy/CB_COMARCAS_5000_ETRS89.shp?dl=0

library(shiny)
library(shinyWidgets)
library(leaflet)
library(rgdal)
library(tmap)
library(tmaptools)
library(dplyr)


setwd(~)

shape <- read_shape(file="CB_COMARCAS_5000_ETRS89.shp") # Load shape file

shape$COMARCA <- as.character(shape$COMARCA)

shape$COMARCA <- c(# Vector with names of the areas
  "Alto Deba", "Arratia-Nervión", "Bajo Bidasoa", "Bajo Deba", "Cantábrica Alavesa",
  "Donostialdea", "Duranguesado", "Encartaciones", "Estribaciones del Gorbea",
  "Gernika-Bermeo", "Goierri", "Gran Bilbao", "Llanada Alavesa", "Markina-Ondarroa", 
  "Montaña Alavesa", "Plentzia-Mungia", "Rioja Alavesa", "Tolosa", "Urola Costa", "Valles Alaveses")

datawvals$COMARCA <- c(# Vector with names of the areas
  "Alto Deba", "Arratia-Nervión", "Bajo Bidasoa", "Bajo Deba", "Cantábrica Alavesa",
  "Donostialdea", "Duranguesado", "Encartaciones", "Estribaciones del Gorbea",
  "Gernika-Bermeo", "Goierri", "Gran Bilbao", "Llanada Alavesa", "Markina-Ondarroa", 
  "Montaña Alavesa", "Plentzia-Mungia", "Rioja Alavesa", "Tolosa", "Urola Costa", "Valles Alaveses")

datawvals <- bind_rows(datawvals, datawvals, datawvals)
datawvals$time <- c(rep("2010",20), rep("2014",20), rep("2016",20))
datawvals$var1 <- runif(60)
datawvals$var2 <- runif(60)
datawvals$var3 <- runif(60)

data4map <- left_join(shape, datawvals, by="COMARCA") #join shape with data to be depicted

years <- c(2010,2014,2016)


runApp(list(
  ui = fluidPage(
    titlePanel("Shiny tmap!"),
    sidebarLayout(
      sidebarPanel(
        selectInput("var", label = "Variable", choices = c("var1", "var2", "var3"), selected = "var1"),
        sliderTextInput(
          inputId = "time", label = "year", 
          choices = years,  selected = 2010, 
          grid = FALSE
        )
      ),
      mainPanel(
        leafletOutput("map", width=600)
      )
    )
  ),
  server = function(input, output) {
    
    #Subset data based on year
    subsetData <- reactive({
      new_data <- data4map[data4map$time==input$time, ]
      return(new_data)
    })
    
    #Different color palettes for diff vars
    colores <- reactive({
      if(input$var=="var1"){
        colores0 <- "Blues"
      } else{
        colores0 <- "Reds"
      }
      
      return(colores0)
    })
    
    #Actual plot
    output$map = renderLeaflet({

        tm <- tm_shape(subsetData()) +
          tm_polygons(input$var, palette=colores())
      
      
      tmap_leaflet(tm)
    })
  }
))

Answer 1

需要使用

tmap

吗？我认为你可以通过

leaflet

获得你想要的行为 - 看看这里的指南： https://rstudio.github.io/leaflet/choropleths.html

一个可行的结构是：

output$map <- renderLeaflet({

  leaflet() %>%
    addProviderTiles("ESRI.WorldGrayCanvas") %>%
    addPolygons(data = subset_data(), ...) %>%
    addLegend(position = "topright", ...)    # Using ... here to mean more stuff needed!

})

然后，您可以通过将

color

和

fill

参数传递给

addPolygons

来更改形状的颜色；您可以分别使用

popup

和

label

参数更改弹出窗口和标签。

在图例中（以及多边形颜色），您需要提供调色板和值

所有详细信息都在上面的链接上 - 它与您提供的 leafletjs 链接中的 choropleth 相同，但使用 R 构建。