Map (leaflet)
#| standalone: true
#| components: [viewer]
#| viewerHeight: 410
library(shiny)
library(bslib)
library(leaflet)
ui <- page_fluid(
leafletOutput("map")
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() |>
addTiles() |>
setView(0.34580993652344, 50.6252978589571, zoom = 3)
})
}
shinyApp(ui = ui, server = server)
library(shiny)
library(bslib)
library(leaflet)
ui <- page_fluid(
leafletOutput("map")
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() |>
addTiles() |>
setView(0.34580993652344, 50.6252978589571, zoom = 3)
})
}
shinyApp(ui = ui, server = server)
Relevant Functions
-
leafletOutput
leafletOutput(outputId, width = "100%", height = 400)
-
renderLeaflet
renderLeaflet(expr, env = parent.frame(), quoted = FALSE)
Details
Leaflet is an open-source JavaScript library for interactive maps. The leaflet
R package makes it easy to create Leaflet maps from R. You will need to install and load leaflet
.
To insert a leaflet
map do the following tasks:
Add
leafletOutput()
to the UI of your app to create a div in which to display the map. Where you call this function will determine where the map will appear within the layout of the app. Set theoutputId
argument ofleafletOutput()
to a unique value.Within the server function, call
renderLeaflet()
and save its output as an element of theoutput
list. Name the element after theoutputId
used above. For example,output$map <- renderLeaflet()
.leafletOutput()
will display the value of theoutput
element whose name matches itsoutputId
.Pass
renderLeaflet()
a block of code, surrounded with{}
. The code should return a Leaflet map widget.
Variations
GeoJSON and Markers
Read in country boundaries from a GeoJSON file and add markers to the map.
#| standalone: true
#| components: [viewer]
#| viewerHeight: 300
# example and data from:
# https://ipyleaflet.readthedocs.io/en/latest/layers/geo_json.html
# https://ipyleaflet.readthedocs.io/en/latest/layers/marker.html
library(shiny)
library(bslib)
library(leaflet)
library(jsonlite)
country_boundaries <-
'{
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"sov_a3": "ALB",
"adm0_dif": 0,
"level": 2,
"type": "Sovereign country",
"admin": "Albania",
"adm0_a3": "ALB",
"geou_dif": 0,
"geounit": "Albania",
"gu_a3": "ALB",
"su_dif": 0,
"subunit": "Albania",
"su_a3": "ALB",
"brk_diff": 0,
"name": "Albania",
"name_long": "Albania",
"brk_a3": "ALB",
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"abbrev": "Alb.",
"postal": "AL",
"formal_en": "Republic of Albania",
"formal_fr": null,
"note_adm0": null,
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"name_sort": "Albania",
"name_alt": null,
"mapcolor7": 1,
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"pop_est": 3639453,
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"economy": "6. Developing region",
"income_grp": "4. Lower middle income",
"wikipedia": -99,
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"iso_a3": "ALB",
"iso_n3": "008",
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"wb_a2": "AL",
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"woe_id": -99,
"adm0_a3_is": "ALB",
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"continent": "Europe",
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},
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]
}' |>
parse_json()
random_color <- function() {
sample(c("red", "yellow", "green", "orange"), size = 1)
}
for (i in seq_along(country_boundaries$features)) {
country_boundaries$features[[i]]$style <- list(fillColor = random_color())
}
ui <- page_fluid(
markdown("## A `leaflet` Map"),
leafletOutput("map")
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() |>
addTiles() |>
setView(0.34580993652344, 50.6252978589571, zoom = 3) |>
addGeoJSON(
country_boundaries,
opacity = 1,
dashArray = "9",
fillOpacity = 0.1,
color = "black",
weight = 1
) |>
addCircleMarkers(0.121558, 52.204793)
})
}
shinyApp(ui = ui, server = server)
# example and data from:
# https://ipyleaflet.readthedocs.io/en/latest/layers/geo_json.html
# https://ipyleaflet.readthedocs.io/en/latest/layers/marker.html
library(shiny)
library(bslib)
library(leaflet)
library(jsonlite)
country_boundaries <- read_json("europe_110.geo.json")
random_color <- function() {
sample(c("red", "yellow", "green", "orange"), size = 1)
}
for (i in seq_along(country_boundaries$features)) {
country_boundaries$features[[i]]$style <- list(fillColor = random_color())
}
ui <- page_fluid(
markdown("## A `leaflet` Map"),
leafletOutput("map")
)
server <- function(input, output) {
output$map <- renderLeaflet({
leaflet() |>
addTiles() |>
setView(0.34580993652344, 50.6252978589571, zoom = 3) |>
addGeoJSON(
country_boundaries,
opacity = 1,
dashArray = "9",
fillOpacity = 0.1,
color = "black",
weight = 1
) |>
addCircleMarkers(0.121558, 52.204793)
})
}
shinyApp(ui = ui, server = server)