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Using arbitrary Leaflet plugins with Leaflet for R

Using arbitrary Leaflet JS plugins with Leaflet for R

The Leaflet JS mapping library has lots of plugins available. The Leaflet package for R provides direct support for some, but far from all, of these plugins, by providing R functions for invoking the plugins.

If you as an R user find yourself wanting to use a Leaflet plugin that isn't directly supported in the R package, you can use the technique shown here to load the plugin yourself and invoke it using JS code.

library(leaflet)
library(htmltools)
library(htmlwidgets)
# This tells htmlwidgets about our plugin name, version, and
# where to find the script. (There's also a stylesheet argument
# if the plugin comes with CSS files.)
esriPlugin <- htmlDependency("leaflet.esri", "1.0.3",
src = c(href = "https://cdn.jsdelivr.net/leaflet.esri/1.0.3/"),
script = "esri-leaflet.js"
)
# A function that takes a plugin htmlDependency object and adds
# it to the map. This ensures that however or whenever the map
# gets rendered, the plugin will be loaded into the browser.
registerPlugin <- function(map, plugin) {
map$dependencies <- c(map$dependencies, list(plugin))
map
}
leaflet() %>% setView(-122.23, 37.75, zoom = 10) %>%
# Register ESRI plugin on this map instance
registerPlugin(esriPlugin) %>%
# Add your custom JS logic here. The `this` keyword
# refers to the Leaflet (JS) map object.
onRender("function(el, x) {
L.esri.basemapLayer('Topographic').addTo(this);
}")
# This example shows the ability to pass extra R data to onRender.
# At the time of this writing it requires a custom build of htmlwidgets:
# devtools::install_github("ramnathv/htmlwidgets@joe/feature/onrender-data")
#
# Track the progress of this functionality at
# https://github.com/ramnathv/htmlwidgets/pull/202
library(leaflet)
library(htmltools)
library(htmlwidgets)
library(dplyr)
heatPlugin <- htmlDependency("Leaflet.heat", "99.99.99",
src = c(href = "http://leaflet.github.io/Leaflet.heat/dist/"),
script = "leaflet-heat.js"
)
registerPlugin <- function(map, plugin) {
map$dependencies <- c(map$dependencies, list(plugin))
map
}
leaflet() %>% addTiles() %>%
fitBounds(min(quakes$long), min(quakes$lat), max(quakes$long), max(quakes$lat)) %>%
registerPlugin(heatPlugin) %>%
onRender("function(el, x, data) {
data = HTMLWidgets.dataframeToD3(data);
data = data.map(function(val) { return [val.lat, val.long, val.mag*100]; });
L.heatLayer(data, {radius: 25}).addTo(this);
}", data = quakes %>% select(lat, long, mag))
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