Leaflet provides an option, when setting up your map, to hide the zoom controls
leaflet(options = leafletOptions(zoomControl = FALSE)
However, I would like to call this option after having already created a map so that a user can download the map without the zoom controls and without me having to re-create a different version of the map from scratch.
Here's a simple version of my app at the moment:
library(shiny)
library(tidyverse)
library(leaflet)
library(mapview)
ui <- fluidPage(
fluidPage(
leafletOutput(outputId = "map"),
downloadButton(outputId = "save")
)
)
server <- function(input, output, session) {
map <- reactive({
leaflet() %>%
addTiles()
})
output$map <- renderLeaflet({
map()
})
output$save <- downloadHandler(
filename = "map.jpeg",
content = function(file){
latRng <- range(input$map_bounds$north,
input$map_bounds$south)
lngRng <- range(input$map_bounds$east,
input$map_bounds$west)
map() %>%
setView(lng = (lngRng[1] + lngRng[2])/2,
lat = (latRng[1] + latRng[1])/2,
zoom = input$map_zoom) %>%
### HERE ###
mapshot(file = file)
}
)
}
shinyApp(ui, server)
I'd like to be able to add a line of code where I've commented ### HERE ### that would turn off zoom controls. In my actual code the displayed map is really complex with lots of options and I wouldn't want to have all that code twice just for the sake of removing zoom controls in the initial call to leaflet().
Thanks
You can do it like so:
library(shiny)
library(tidyverse)
library(leaflet)
library(mapview)
ui <- fluidPage(
fluidPage(
leafletOutput(outputId = "map"),
downloadButton(outputId = "save")
)
)
server <- function(input, output, session) {
map <- reactive({
leaflet() %>%
addTiles()
})
output$map <- renderLeaflet({
map()
})
output$save <- downloadHandler(
filename = "map.jpeg",
content = function(file){
latRng <- range(input$map_bounds$north,
input$map_bounds$south)
lngRng <- range(input$map_bounds$east,
input$map_bounds$west)
m = map() %>%
setView(lng = (lngRng[1] + lngRng[2])/2,
lat = (latRng[1] + latRng[1])/2,
zoom = input$map_zoom)
m$x$options = append(m$x$options, list("zoomControl" = FALSE))
mapshot(m, file = file)
}
)
}
shinyApp(ui, server)
which is updating the leaflet options after map creation. I will incorporate this in the mapshot function to optionally remove the zoomControl.
Related
I am still working on this R Leaflet self project to learn and I'm trying to color in some Polygons in the Wake County area of Raleigh, NC. Below is the image of what I am trying to color.
https://imgur.com/a/xdvNLvM
Basically I am trying to get each of those polygons colored differently. I've tried addPolygons but I guess I didn't have correct Polygon data. I've looked at color binning but I seem to be out of ideas. Below is my code. I even tried to unnest the GeoJSON data and create a factor palette but that hasn't seemed to work.
library(shiny)
library(leaflet.extras)
library(geojsonio)
library(rgdal)
dataurl <- 'https://opendata.arcgis.com/datasets/f5c3b84a6fcc499d8f9ece78602258eb_0.geojson'
data <- geojson_read(dataurl, method = 'web', parse = FALSE, what = 'list')
wake <- readOGR(dataurl)
wake$zips <- factor(sample.int(39L, nrow(wake), TRUE))
#bikedata <- 'D:/bicycle-crash-data-chapel-hill-region.geojson'
#bike <- geojson_read(bikedata)
vtdata <- 'http://geodata.vermont.gov/datasets/4c206846699947429df59c8cb552ab5c_11.geojson'
vt <- geojson_read(vtdata)
factpal <- colorFactor(topo.colors(39), wake$zips)
ui <- shinyUI(
fluidPage(
leafletOutput("map", width = "100%", height = "900px")
)
)
server <- function(input, output) {
wakegeojson <- reactive({
data
})
#bikegeojson <- reactive({
# bike
#})
vtgeojson <- reactive({
vt
})
output$map <- renderLeaflet({
leaflet() %>%
addTiles() %>%
setView(-93.65, 42.0285, zoom = 4)
})
observe({
leafletProxy("map") %>%
addWMSTiles("http://mesonet.agron.iastate.edu/cgi-bin/wms/nexrad/n0r.cgi",
layers = "nexrad-n0r-900913",
options = WMSTileOptions(format = "image/png", transparent = TRUE),
attribution = "") %>%
addGeoJSON(wakegeojson(), weight = 3, fill = factpal) %>%
#addGeoJSON(bikegeojson()) %>%
addGeoJSON(vtgeojson(), fill = FALSE, color = "black")
})
}
app <- shinyApp(ui = ui, server = server)
runApp(app, launch.browser = TRUE)
I think I need to explore the addPolygons feature more but I'm not exactly sure how to do that or how to parse/unnest my GeoJSON data in order to accomplish filling in the Wake County Zipcodes with different colors. Any help is always appreciated. Thank you.
I would switch to sf. You can directly load the geojson and produce a Multipolygon and a Multilinestring object which will also read much faster than readOGR.
Then you can just put those objects in addPolygons and addPolylines.
The following example should work:
library(shiny)
library(leaflet.extras)
library(geojsonio)
library(rgdal)
library(sf)
dataurl <- 'https://opendata.arcgis.com/datasets/f5c3b84a6fcc499d8f9ece78602258eb_0.geojson'
wake <- st_read(dataurl)
wake$zips <- factor(sample.int(39L, nrow(wake), TRUE))
vtdata <- 'http://geodata.vermont.gov/datasets/4c206846699947429df59c8cb552ab5c_11.geojson'
vt <- st_read(vtdata)
factpal <- colorFactor(topo.colors(39), wake$zips)
ui <- shinyUI(
fluidPage(
leafletOutput("map", width = "100%", height = "900px")
)
)
server <- function(input, output) {
wakegeojson <- reactive({
wake
})
vtgeojson <- reactive({
vt
})
output$map <- renderLeaflet({
leaflet() %>%
addTiles() %>%
addPolygons(data=wakegeojson(), color=factpal(wake$zips)) %>%
addPolylines(data=vtgeojson(), color="red")
})
}
app <- shinyApp(ui = ui, server = server)
runApp(app, launch.browser = TRUE)
I'm working on adding a WMTS layer to my R Leaflet map using this url:
https://mrdata.usgs.gov/mapcache/wmts?layer=alteration&service=WMTS&request=GetCapabilities&version=1.0.0
I add the url into my code under the "addWMSTiles" option in R Leaflet like such:
library(shiny)
library(leaflet)
ui <- shinyUI(
fluidPage(
leafletOutput("map", width = "100%", height = "900px")
)
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() %>%
addTiles() %>%
setView(-93.65, 42.0285, zoom = 4) %>%
addWMSTiles("https://mrdata.usgs.gov/mapcache/wmts?layer=alteration&service=WMTS&request=GetCapabilities&version=1.0.0",
layers = "sim3340",
options = WMSTileOptions(format = "image/png", transparent = TRUE),
attribution = "")
})
}
app <- shinyApp(ui = ui, server = server)
runApp(app, launch.browser = TRUE)
When I run this code the map will display in the browser but all that displays is the base leaflet (OpenStreets) Map (image below).
When there should be some coloring around CA and AZ since that's that WMTS layer is highlighting.
At first I thought it may be due to there being 3 different projection matrices in the WMTS layer but even if I call crs = "EPSG:6.3:3857" in the addWMSTiles options it still shows up as the base map.
What do I need to change or add to make this WMTS layer show up on the map?
Thank you and as always any help is appreciated!
This should do it. The call to your baseUrl was not correct.
library(shiny)
library(leaflet)
ui <- shinyUI(
fluidPage(
leafletOutput("map", width = "100%", height = "900px")
)
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() %>%
addTiles() %>%
setView(-93.65, 42.0285, zoom = 4) %>%
addWMSTiles(baseUrl = "https://mrdata.usgs.gov/mapcache/wms/",
layers = "sim3340",
options = WMSTileOptions(format = "image/png", transparent = TRUE),
attribution = "")
})
}
app <- shinyApp(ui = ui, server = server)
runApp(app, launch.browser = TRUE)
I am building a shiny app where I would like to get the coordinates of a polygon from a leaflet map. Specifically, the shape is drawn using the Drawtoolbar from the leaflet.extras package. A simple example app is below.
My question is, how can I get the coordinates from the shape drawn on the map by the user? Thank you in advance.
library(shiny)
library(leaflet)
library(leaflet.extras)
# Define UI
ui <- fluidPage(
leafletOutput("mymap",height=800)
)
# Define server logic
server <- function(input, output) {
output$mymap <- renderLeaflet(
leaflet() %>%
addProviderTiles("Esri.OceanBasemap",group = "Ocean Basemap") %>%
setView(lng = -166, lat = 58.0, zoom = 5) %>%
addDrawToolbar(
targetGroup='draw',
editOptions = editToolbarOptions(selectedPathOptions = selectedPathOptions())) %>%
addLayersControl(overlayGroups = c('draw'), options =
layersControlOptions(collapsed=FALSE))
)
observeEvent(input$mymap_shape_click,{
print(input$mymap_shape_click)
})
observeEvent(input$mymap_click,{
print(input$mymap_click)
})
}
# Run the application
shinyApp(ui = ui, server = server)
You need to observe the _draw_new_feature function
library(leaflet.extras)
# Define UI
ui <- fluidPage(
leafletOutput("mymap",height=800)
)
# Define server logic
server <- function(input, output) {
output$mymap <- renderLeaflet(
leaflet() %>%
addProviderTiles("Esri.OceanBasemap",group = "Ocean Basemap") %>%
setView(lng = -166, lat = 58.0, zoom = 5) %>%
addDrawToolbar(
targetGroup='draw',
editOptions = editToolbarOptions(selectedPathOptions = selectedPathOptions())) %>%
addLayersControl(overlayGroups = c('draw'), options =
layersControlOptions(collapsed=FALSE))
)
observeEvent(input$mymap_draw_new_feature,{
feature <- input$mymap_draw_new_feature
print(feature)
})
}
# Run the application
shinyApp(ui = ui, server = server)
I am trying to create a leaflet Shiny app however I keep getting the Warning: Error in derivePoints: addMarkers requires non-NULL longitude/latitude values Error. I have attached the code herewith. Also, a screenshot of the input data files and links to download.
DataBooks.csv
GPSBook.csv
Code:
library(shiny)
library(leaflet)
Location_levels=list(Institutional=0, Provincial=1, National=2, International=3)
DataBook <- read.csv("~/R_Projects/TNL_Network/DataBook.csv", comment.char="#")
GPSBook <- read.csv("~/R_Projects/TNL_Network/GPSBook.csv", comment.char="#")
## Create content for the popups in the markers
popUpContent <- function(ins_id){
subs<-subset(DataBook, Institute_id==ins_id)
name <- subs$Institute[[1]]
return(name[[1]])
}
## Get unique markers based on the location type selected. This function calls the popup content function above and returns a dataframe
markerData <- function(location){
subs1<-subset(DataBook, Location_level<=Location_levels[location])
unique_ins_ids<-levels(factor(subs1$Institute_id))
mdata.list <- vector("list", length(unique_ins_ids))
for(i in 1:length(unique_ins_ids)){
mdata.list[[i]] <- list(subset(GPSBook, Institute_id==unique_ins_ids[i])["Longitude"][[1]], subset(GPSBook, Institute_id==unique_ins_ids[i])["Latitude"][[1]],
as.character(popUpContent(unique_ins_ids[i])))
}
solution <- do.call('rbind', mdata.list)
dataf<-data.frame(solution)
colnames(dataf)<-c("lat", "long", "Msg") ## I ihave mixed up the origincal longitude and latitude. I invert it here.
return(dataf)
}
## Function to create initial data.
initData <- function(){
return(markerData("International"))
}
init_dataset <- initData()
ui <- fluidPage(
leafletOutput("mymap"),
p(),
radioButtons(inputId = "radio", label = "", choices = as.list(levels(DataBook$Location)), selected = "International")
)
server <- function(input, output, session) {
observe({
proxy <- leafletProxy("mymap", data = markerData(input$radio))
proxy %>% clearMarkers()
proxy %>% addMarkers()
})
output$mymap <- renderLeaflet({
leaflet(data = markerData(input$radio)) %>% addTiles() %>%
addMarkers()
})
}
shinyApp(ui, server)
Thanks a lot for the help.
Links to files.
https://drive.google.com/open?id=0B-TWCTRv7UM1bnVpWEIxTnB2d28
https://drive.google.com/open?id=0B-TWCTRv7UM1cjBxNnlhR2ZXc0U
I hope I have understood you intention. If yes this can be simplified a lot.
This is how I would do it. (just change back to the correct directories where your csv files are). The code:
library(shiny)
library(leaflet)
DataBook <- read.csv("./data/DataBook.csv", comment.char="#")
GPSBook <- read.csv("./data/GPSBook.csv", comment.char="#")
names(GPSBook) <- names(GPSBook)[c(1,2,4,3)]
ui <- fluidPage(
leafletOutput("mymap"),
p(),
radioButtons(inputId = "radio", label = "", choices = as.list(levels(DataBook$Location)), selected = "International")
)
server <- function(input, output, session) {
location <- reactive({
tmp <- subset(DataBook, Location_level <= Location_levels[input$radio])
uniqueIds <- unique(tmp$Institute_id)
tmpGps <- subset(GPSBook, Institute_id %in% uniqueIds)
})
observe({
proxy <- leafletProxy("mymap", data = location())
proxy %>% clearMarkers()
proxy %>% addMarkers(popup = ~as.character(Name))
})
output$mymap <- renderLeaflet({
leaflet(data = GPSBook) %>% addTiles() %>%
addMarkers(popup = ~as.character(Name))
})
}
shinyApp(ui, server)
In your original code the function was creating a list so the data was not prepared as leaflet would expect them to be.
I have created a leaflet map in a Shiny application. Now I need a download button, so that the user can download the currently shown map including all markers, polygons etc. as a pdf file.
I have found this solution how to save a leaflet map in R: How to save Leaflet in R map as png or jpg file?
But how does it work in Shiny? I kept the example code simple, but think of it, as if there were a lot of changes to the map via leafletProxy() before the user wants to save the map as a pdf.
This is my try, but it's not working.
server.R
library(shiny)
library(leaflet)
library(devtools)
install_github("wch/webshot") # first install phantomjs.exe in your directory
library(htmlwidgets)
library(webshot)
server <- function(input, output){
output$map <- renderLeaflet({
leaflet() %>% addTiles()
})
observe({
if(input$returnpdf == TRUE){
m <- leafletProxy("map")
saveWidget(m, "temp.html", selfcontained = FALSE)
webshot("temp.html", file = "plot.pdf", cliprect = "viewport")
}
})
output$pdflink <- downloadHandler(
filename <- "map.pdf",
content <- function(file) {
file.copy("plot.pdf", file)
}
)
}
ui.R
ui <- fluidPage(
sidebarPanel(
checkboxInput('returnpdf', 'output pdf?', FALSE),
conditionalPanel(
condition = "input.returnpdf == true",
downloadLink('pdflink')
)
),
mainPanel(leafletOutput("map"))
)
I have updated my previous answer to make it more clear and illustrate how to use mapshot from package mapview.
Moreover, following Jake's question below, I noticed that it might be necessary to specify a link to a tile (within addTiles), or the map might be downloaded with a grey background.
Server
server = function(input, output){
mymap <- reactive({
# here I have specified a tile from openstreetmap
leaflet() %>% addTiles('http://{s}.tile.openstreetmap.de/tiles/osmde/{z}/{x}/{y}.png')
})
output$map <- renderLeaflet({
mymap()
})
# function with all the features that we want to add to the map
myfun <- function(map){
addCircles(map,12.5,42,radius=500) %>% addMarkers(12,42,popup="Rome")
}
observe({
leafletProxy("map") %>% myfun()
})
# map that will be downloaded
mapdown <- reactive({
# we need to specify coordinates (and zoom level) that we are currently viewing
bounds <- input$map_bounds
latRng <- range(bounds$north, bounds$south)
lngRng <- range(bounds$east, bounds$west)
mymap() %>% myfun() %>% setView(lng = (lngRng[1]+lngRng[2])/2, lat = (latRng[1]+latRng[2])/2, zoom = input$map_zoom)
})
output$map_down <- downloadHandler(
filename = 'mymap.pdf',
content = function(file) {
# temporarily switch to the temp dir, in case you do not have write
# permission to the current working directory
owd <- setwd(tempdir())
on.exit(setwd(owd))
# using saveWidget and webshot (old)
saveWidget(mapdown(), "temp.html", selfcontained = FALSE)
webshot("temp.html", file = file, cliprect = "viewport")
# using mapshot we can substitute the above two lines of code
# mapshot(mapdown(), file = file, cliprect = "viewport")
}
)
}
UI
ui <- fluidPage(
sidebarPanel(
checkboxInput('returnpdf', 'output pdf?', FALSE),
conditionalPanel(
condition = "input.returnpdf == true",
downloadButton('map_down')
)
),
mainPanel(leafletOutput("map"))
)