Example: nominatimlite and leaflet maps
Combine nominatimlite and leaflet maps
Source:vignettes/articles/ex_leaflet.Rmd
ex_leaflet.RmdExample
The following example shows how it is possible to create a nice leaflet map with data retrieved with nominatimlite.
This widget is browsable and filterable thanks to crosstalk and reactable:
# Coffee Shops and Restaurants around the Eiffel Tower
library(nominatimlite)
library(sf)
library(leaflet)
library(dplyr)
library(tidyr)
library(reactable)
library(crosstalk)
# Step 1: Eiffel Tower
eiffel_tower <- geo_lite_sf("Eiffel Tower, Paris, France", points_only = FALSE)
# Step 2: Coffee Shops and Restaurants nearby
# Create a buffer of 1km around the Eiffel Tower
buff <- eiffel_tower %>%
st_transform(3857) %>%
st_centroid() %>%
st_buffer(1000)
cf_bk <- geo_amenity_sf(buff,
amenity = c("cafe", "restaurant"), limit = 50,
full_results = TRUE,
custom_query = list(extratags = TRUE)
) %>%
# Build address with street, house number, suburb and postcode
unite("addr", address.road, address.house_number, address.postcode,
address.suburb,
sep = ", ", na.rm = TRUE
)
#> | | | 0% | |========================= | 50% | |==================================================| 100%
# Labels and icons
labs <- paste0("<strong>", cf_bk$name, "</strong><br>", cf_bk$addr)
# Assign icons
# Base url for icons
icon_url <- paste0(
"https://raw.githubusercontent.com/dieghernan/arcgeocoder/",
"main/vignettes/articles/"
)
leaf_icons <- icons(
ifelse(cf_bk$type == "cafe",
paste0(icon_url, "coffee-cup.png"),
paste0(icon_url, "restaurant.png")
),
iconWidth = 20, iconHeight = 20,
iconAnchorX = 10, iconAnchorY = 10
)
# Step 3: Crosstalk object
cf_bk_data <- cf_bk %>%
select(
Place = name, Type = type, Address = addr,
City = address.city, URL = extratags.website,
Phone = extratags.phone
) %>%
SharedData$new(group = "Food")
# Step 4: Leaflet map with crosstalk
# Init leaflet map
lmend <- leaflet(
data = cf_bk_data,
elementId = "EiffelTower", width = "100%", height = "60vh",
options = leafletOptions(minZoom = 12)
) %>%
addProviderTiles(
provider = "CartoDB.Positron",
group = "CartoDB.Positron"
) %>%
addTiles(group = "OSM") %>%
addPolygons(data = eiffel_tower) %>%
addMarkers(popup = labs, icon = leaf_icons) %>%
addLayersControl(
baseGroups = c("CartoDB.Positron", "OSM"),
position = "topleft",
options = layersControlOptions(collapsed = FALSE)
)
# Step 5: Reactable for filtering
tb <- reactable(cf_bk_data,
selection = "multiple",
onClick = "select",
rowStyle = list(cursor = "pointer"),
filterable = TRUE,
searchable = TRUE,
showPageSizeOptions = TRUE,
striped = TRUE,
defaultColDef = colDef(vAlign = "center", minWidth = 150),
paginationType = "jump",
elementId = "coffees",
columns = list(
Place = colDef(
sticky = "left", rowHeader = TRUE, name = "",
cell = function(value) {
htmltools::strong(value)
}
),
URL = colDef(cell = function(value) {
# Render as a link
if (is.null(value) | is.na(value)) {
return("")
}
htmltools::a(href = value, target = "_blank", as.character(value))
}),
Phone = colDef(cell = function(value) {
# Render as a link
if (is.null(value) | is.na(value)) {
return("")
}
clearphone <- gsub("-", "", value)
clearphone <- gsub(" ", "", clearphone)
htmltools::a(
href = paste0("tel:", clearphone), target = "_blank",
as.character(value)
)
})
)
)Session info
Details
#> ─ Session info ───────────────────────────────────────────────────────────────
#> setting value
#> version R version 4.4.2 (2024-10-31 ucrt)
#> os Windows Server 2022 x64 (build 20348)
#> system x86_64, mingw32
#> ui RTerm
#> language en
#> collate English_United States.utf8
#> ctype English_United States.utf8
#> tz UTC
#> date 2024-11-20
#> pandoc 3.1.11 @ C:/HOSTED~1/windows/pandoc/31F387~1.11/x64/PANDOC~1.11/ (via rmarkdown)
#>
#> ─ Packages ───────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
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#> cachem 1.1.0 2024-05-16 [1] RSPM
#> class 7.3-22 2023-05-03 [3] CRAN (R 4.4.2)
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#> glue 1.8.0 2024-09-30 [1] RSPM
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#> httpuv 1.6.15 2024-03-26 [1] RSPM
#> jquerylib 0.1.4 2021-04-26 [1] RSPM
#> jsonlite 1.8.9 2024-09-20 [1] RSPM
#> KernSmooth 2.23-24 2024-05-17 [3] CRAN (R 4.4.2)
#> knitr 1.49 2024-11-08 [1] RSPM
#> later 1.3.2 2023-12-06 [1] RSPM
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#> magrittr 2.0.3 2022-03-30 [1] RSPM
#> mime 0.12 2021-09-28 [1] RSPM
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