I am trying to create an interactive webmap in R to display storms using Shiny, Leaflet and rCharts (the structure is loosely based on the http://ramnathv.github.io/bikeshare app).
The idea is that the user selects one storm name at a time (df$Name) and the markers for that storm (lat/long) are displayed in a Leaflet map (with zoom in/out function).
I cannot get Leaflet to load a new map and markers for each separate storm name. Any help/advice would be greatly appreciated!
This is what the data (TCs.Rda) look like (sample data file uploaded here):
Year Name Wind lat long
2010 BONNIE 15 30.100 -91.000
2010 FIVE 25 30.000 -88.900
2010 FIVE 25 30.400 -88.800
2010 FIVE 25 30.800 -88.600
library(shiny); library(rCharts); library(leaflet)
load("TCs.Rda")
name <- sort(unique(data$Name))
shinyServer(function(input, output){
dataset <- reactive({ df <- data[data$Name == input$name, ] })
output$add <- renderText({paste("Storm name:", input$name)})
output$Controls <- renderUI({
list(selectInput("name", "Select storm", name, selected=name[1])) })
output$myChart <- renderMap({
df <- dataset()
map <- Leaflet$new()
map$setView(c(35, -80),zoom=5)
map$tileLayer(provider='Stamen.TonerLite')
for (i in 1:nrow(df)) {
map$marker(c(df[i, "lat"], df[i, "long"]), bindPopup=df[i, "Wind"])}
map$set(dom='myChart')
map$enablePopover(TRUE)
map$fullScreen(TRUE)
map
})
})
library(shiny); library(rCharts); library(leaflet)
shinyUI(pageWithSidebar(
headerPanel("Storm tracks"),
sidebarPanel(h3("My subtitle"), uiOutput("Controls")),
mainPanel(
tabsetPanel(
h3(textOutput("add")),
tabPanel("map", tags$style(".leaflet {height: 400px;}"), # I can only get this to work with a tabset panel, but ideally both the textOutput and map would go directly in the mainPanel
showOutput("myChart", "leaflet")))
)
))
I figured it out myself eventually! Another post (Shiny renders a responsive rCharts leaflet map once, but is blank if you change the input variable) indicated that the line of code "map$set(dom='myChart')" could be preventing Leaflet from reloading a new map on each selection.
I didn't think that could be the issue here (my example is a little different and does not use geojson), but apparently it was.
This is my working code, in case it helps anyone else -
library(shiny);library(rCharts);library(leaflet)
load("TCs.Rda")
name <- sort(unique(data$Name))
shinyServer(function(input, output){
dataset <- reactive({df<- data[data$Name == input$name, ]})
output$add <- renderText({paste("Storm name:", input$name)})
output$Controls <- renderUI({list(selectInput("name", "Select storm", name, selected=name[1]) ) })
output$myChart <- renderMap({
df <- dataset()
map <- Leaflet$new()
map$setView(c(35, -80),zoom=3)
map$tileLayer(provider='Stamen.TonerLite')
for (i in 1:nrow(df)) {map$marker(c(df[i, "lat"], df[i, "long"]))}
map$fullScreen(TRUE)
map
})
})
library(shiny); library(rCharts); library(leaflet)
shinyUI(pageWithSidebar(
headerPanel("Storm tracks"),
sidebarPanel(h3("My subtitle"), uiOutput("Controls")),
mainPanel(
tabsetPanel(
tabPanel("map", h3(textOutput("add")),
tags$style(".leaflet {height: 400px;}"),
showOutput("myChart", "leaflet")))
)
))
And the result looks like this:
I strongly recommend rstudio's leaflet.
I've an introductory tutorial on it and why it's so awesome here: http://www.r-bloggers.com/the-leaflet-package-for-online-mapping-in-r/
Also, I'm using it to build an interact planning tool for the DfT: https://github.com/npct/pct
Good luck with it!
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