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使用rCharts在R和Shiny中创建传单热图

[英]Creating Leaflet heatmaps in r and shiny using rCharts

I am using the great demo by Ramnath Vaidyanathan at http://rmaps.github.io/blog/posts/leaflet-heat-maps/index.html and I would like to reproduce his heat map for my shiny application. 我正在使用http://rmaps.github.io/blog/posts/leaflet-heat-maps/index.html上的Ramnath Vaidyanathan进行的演示,我想为我的闪亮应用程序重现他的热图。

When I try to use Ramnath's code in shiny though I only manage to get the map out, but not the heat map. 当我尝试以闪亮的方式使用Ramnath的代码时,尽管我只能设法将地图显示出来,而不能显示热图。 Possibly part of the reason of my problems is that the original code from Ramnath uses rMaps while I'm using rCharts (also developed by Ramnath) as it is more developed / better integrated with shiny and of course includes Leaflet. 我出现问题的部分原因可能是Ramnath的原始代码使用了rMaps,而我使用的是rCharts(也由Ramnath开发),因为它更加发达/与光泽度更好地集成了,当然包括Leaflet。 I tried to use rMaps with shiny's HTML generic commands renderUI and htmlOutput with no success. 我尝试将rMaps与Shiny的HTML通用命令renderUIhtmlOutput一起使用时没有成功。

This is the shiny code that doesn't work (it just displays the map ignoring the hotspot library): 这是无法使用的闪亮代码(它只显示地图,而忽略了热点库):

library(rCharts)
library(shiny)

runApp(
list(ui = (pageWithSidebar(
headerPanel("Heatmap"),
sidebarPanel( width=2),
mainPanel(
mapOutput("leafmap")
)
)),
server = function(input, output) {
output$leafmap  <- renderMap({
L2 <- Leaflet$new()
L2$setView(c(29.7632836,  -95.3632715), 10)
L2$tileLayer(provider = "MapQuestOpen.OSM")
data(crime, package = 'ggmap')
library(plyr)
crime_dat = ddply(crime, .(lat, lon), summarise, count = length(address))
crime_dat = toJSONArray2(na.omit(crime_dat), json = F, names = F)
L2$addAssets(jshead = c(
 "http://leaflet.github.io/Leaflet.heat/dist/leaflet-heat.js"
 ))
L2$setTemplate(afterScript = sprintf("
                                 <script>
                                 var addressPoints = %s
                                 var heat = L.heatLayer(addressPoints).addTo(map)           
                                 </script>
                                 ", rjson::toJSON(crime_dat)
 ))

L2
})
}
))

Turning my comment into an answer ( making use of this question/answer ) 将我的评论变成答案( 利用这个问题/答案

library(rCharts)
library(shiny)
library(data.table)

runApp(
  list(ui = (pageWithSidebar(
    headerPanel("Heatmap"),
    sidebarPanel( width=2),
    mainPanel(
      chartOutput("baseMap", "leaflet"),
      tags$style('.leaflet {height: 500px;}'),
  tags$head(tags$script(src="http://leaflet.github.io/Leaflet.heat/dist/leaflet-heat.js")),
      uiOutput('heatMap')
    )
  )),
  server = function(input, output) {

    data(crime, package="ggmap")
    crime <- as.data.table(crime)

    output$baseMap  <- renderMap({
      baseMap <- Leaflet$new()
      baseMap$setView(c(29.7632836,  -95.3632715), 10)
      baseMap$tileLayer(provider = "MapQuestOpen.OSM")
      baseMap
    })

    output$heatMap <- renderUI({

      ## changed to use data.table for speed
      crime_dat <- crime[(lat != ""), .(count = .N), by=.(lat, lon)]
          ## there's a blank in there somewhere

      ## I was having issues with toJSON, so I'm creating my own JSON
      j <- paste0("[",crime_dat[,lat], ",", crime_dat[,lon], ",", crime_dat[,count], "]", collapse=",")
      j <- paste0("[",j,"]")

      tags$body(tags$script(HTML(sprintf("
                      var addressPoints = %s
                      var heat = L.heatLayer(addressPoints).addTo(map)"
                                         , j
      ))))

    })
  }
  ))

And to show it working 并展示它的工作原理

在此处输入图片说明

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