Alles zusammenführen

Interaktive Karten mit leaflet in R

Rich Majerus

Vice President of Strategy & Planning, Queens University of Charlotte

Rückblick

Leaflet und htmlwidgets
Basiskarten
Kreismarker
Farbpaletten
Polygone
Ebenen
Flair

Choropleth zu logarithmiertem Einkommen in NC 2

Choropleth zu logarithmiertem Einkommen in NC 3

Alles zusammenführen

leaflet() %>% 
  addTiles(group = "OSM") %>% 
  addProviderTiles("CartoDB", group = "Carto") %>% 
  addProviderTiles("Esri", group = "Esri") %>%

  addPolygons(data = shp, weight = 1, fillOpacity = .75,
              color =  ~nc_pal(log(mean_income)),
              label = ~paste0("Mean Income: ", 
                              dollar(mean_income)),
              group = "Mean Income") %>%

Alles zusammenführen

  addCircleMarkers(data = nc_public, radius = 2, 
                   label = ~htmlEscape(name), 
                   color = ~pal(sector_label),group = "Public") %>% 
  addCircleMarkers(data = nc_private, radius = 2, 
                   label = ~htmlEscape(name),
                   color = ~pal(sector_label), group = "Private") %>% 
  addCircleMarkers(data = nc_profit, radius = 2, 
                   label = ~htmlEscape(name),
                   color = ~pal(sector_label),
                   group = "For-Profit") %>% 

  addLayersControl(baseGroups = c("OSM", "Carto", "Esri"), 
                   overlayGroups = c("Public", "Private",
                                     "For-Profit",
                                     "Mean Income"))

Alles zusammenführen

Choropleth zu logarithmiertem Einkommen in NC 4

Eine Karte speichern

# Leaflet-Karte in Objekt speichern
m <- leaflet() %>% 
     addTiles() %>%
     addMarkers(data = ipeds,
                clusterOptions = markerClusterOptions()) %>% 
     addPolygons(data = shp)

# Leaflet-Objekt als HTML-Datei speichern
library(htmlwidgets)

saveWidget(m, file="myMap.html")

Lass uns üben!

Interaktive Karten mit leaflet in R