I've been using R with Leaflet and Shiny to produce a web map that is accessible to the public online. It is a real-time air temperature map of Tasmania, Australia based on current Bureau or meteorology weather station observations. You can view a prototype here:

Each air temperature map is referenced from GeoServer via WMS. I have produced the R code below for reference.

I'm trying to enable the GETFeatureInfo function so users are able to query each map spatially by clicking on any location thereby producing a popup and showing a temperature value.

I'm wondering if this is possible to set up in R?

    m<-leaflet() %>% addTiles() %>% setView(147, -42, zoom = 8) %>%
              layers = paste0("TempPrediction_2019090511AEST"),
              group = paste0("TempPrediction_2019090511AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              layers = paste0("TempPrediction_2019090510AEST"),
              group = paste0("TempPrediction_2019090510AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              layers = paste0("TempPrediction_2019090509AEST"),
              group = paste0("TempPrediction_2019090509AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              layers = paste0("TempPrediction_2019090508AEST"),
              group = paste0("TempPrediction_2019090508AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              layers = paste0("TempPrediction_2019090507AEST"),
              group = paste0("TempPrediction_2019090507AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              layers = paste0("TempPrediction_2019090506AEST"),
              group = paste0("TempPrediction_2019090506AEST"),
              options = WMSTileOptions(format = "image/png", transparent = TRUE, version ="1.3.0",opacity = 0.5))%>%
              baseGroups = c(paste0("TempPrediction_2019090511AEST (°C)"),paste0("TempPrediction_2019090510AEST (°C)"),paste0("TempPrediction_2019090509AEST (°C)"),paste0("TempPrediction_2019090508AEST (°C)"),paste0("TempPrediction_2019090507AEST (°C)"),paste0("TempPrediction_2019090506AEST (°C)")),
              position = 'bottomleft',
              options = layersControlOptions(collapsed = FALSE))
  • trevi solution is not working for me. If I use addWMS() the WMS-layer is not visible. If I use addWMSTiles() I don't get the getFeatureInfo Informations. Has anyone implemeted it correctly? My code, copied from trevis post: ``` library(shiny) library(leaflet) library(leaflet.extras2) library(XML) ui <- fluidPage( # Application title titlePanel("Test"), mainPanel( leafletOutput("mymap") ) ) server <- function(input, output) { output$mymap <- renderLeaflet({leaflet() %>% addTiles(group = "base") %>% addWMS(baseUrl = "ows.terrestris.de/osm/service", layers = c("TOPO-WMS","OSM-Overlay-W
    – Moemen
    Commented Jun 12, 2020 at 11:43

2 Answers 2


It is now possible to get the GetFeatureInfo feature out-of-the-box with the leaflet.extras2 package by calling the leaflet.extras2::addWMS() function.

See here below an example from the package developer:



leaflet()  %>%
  addTiles(group = "base") %>%
  addWMS(baseUrl = "http://ows.terrestris.de/osm/service",
         layers = c("TOPO-WMS","OSM-Overlay-WMS"),
         # layers = c("OSM-Overlay-WMS"),
         group = "wmsgroup",
         options = leaflet::WMSTileOptions(
           transparent = TRUE,
           format = "image/png",
           info_format = "text/html",
           tiled = FALSE
         )) %>%
  addLayersControl(baseGroups = "base",
                   # overlayGroups = c("wmsgroup"))
                   overlayGroups = c("TOPO-WMS","OSM-Overlay-WMS"))

output leaflet map

  • Thank you - very neat! Another alternative I discovered was to use the ObserveEvent function in Shiny in conjunction with implementing an extract query when users click on a location within the webmap. The 'click' produces a set of coordinates which can be used to extract data at a location on-the-fly.
    – Mat W
    Commented Apr 29, 2020 at 0:35
  • Hi @MatW, I was wondering if you could share a working snippet of your implementation. Seems like a clean way, without extra dependencies. Thanks! Commented Sep 27, 2023 at 8:21

I don't think this is possible (yet). GetFeatureInfo requests have not been integrated in r leaflet. This was an issue in the leaflet.extras package, but not (yet) implemented. See https://github.com/bhaskarvk/leaflet.extras/issues/84

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