leafletProxy | R Documentation |
Creates a map-like object that can be used to customize and control a map that has already been rendered. For use in Shiny apps and Shiny docs only.
leafletProxy(
mapId,
session = shiny::getDefaultReactiveDomain(),
data = NULL,
deferUntilFlush = TRUE
)
mapId |
single-element character vector indicating the output ID of the map to modify (if invoked from a Shiny module, the namespace will be added automatically) |
session |
the Shiny session object to which the map belongs; usually the default value will suffice |
data |
a data object; see Details under the |
deferUntilFlush |
indicates whether actions performed against this
instance should be carried out right away, or whether they should be held
until after the next time all of the outputs are updated; defaults to
|
Normally, you create a Leaflet map using the leaflet
function.
This creates an in-memory representation of a map that you can customize
using functions like addPolygons
and setView
.
Such a map can be printed at the R console, included in an R Markdown
document, or rendered as a Shiny output.
In the case of Shiny, you may want to further customize a map, even after it is rendered to an output. At this point, the in-memory representation of the map is long gone, and the user's web browser has already realized the Leaflet map instance.
This is where leafletProxy
comes in. It returns an object that can
stand in for the usual Leaflet map object. The usual map functions like
addPolygons
and setView
can be called, and
instead of customizing an in-memory representation, these commands will
execute on the live Leaflet map instance.
library(shiny)
ui <- fluidPage(
leafletOutput("map1")
)
map <- leaflet() %>% addCircleMarkers(
lng = runif(10),
lat = runif(10),
layerId = paste0("marker", 1:10))
server <- function(input, output, session) {
output$map1 <- renderLeaflet(map)
observeEvent(input$map1_marker_click, {
leafletProxy("map1", session) %>%
removeMarker(input$map1_marker_click$id)
})
}
app <- shinyApp(ui, server)
if (interactive()) app
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