编辑tmap / leaflet / shiny的默认值(弹出窗口和图块)

时间:2019-06-12 14:24:46

标签: r shiny leaflet tmap

我正在使用tmap,传单和发亮的地图来创建巴斯克地区(西班牙)的交互式地图。我已经能够创建地图,但是我不能编辑renderLeaflet的默认行为,特别是:

  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),仅希望标签(鼠标悬停);标签将包含当前显示在弹出窗口中的信息,以及一些其他信息,并显示在地图的右上角而不是区域(类似https://leafletjs.com/examples/choropleth/)上

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

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

下载
    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)
    })
  }
))

预先感谢您提供有关如何修改这些默认设置的提示和建议。

1 个答案:

答案 0 :(得分:1)

您需要使用tmap吗?我认为您可以使用leaflet来获得所需的行为-在此处查看指南: https://rstudio.github.io/leaflet/choropleths.html

可行的结构为:

output$map <- renderLeaflet({

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

})

然后可以通过将colorfill参数传递给addPolygons来更改形状的颜色;您可以分别使用popuplabel参数来更改弹出窗口和标签。

在图例(以及多边形颜色)中,您需要提供调色板和值

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