Make a minimal arty city map with R and openstreetmap data

lausanne_OSM_city_map.R

library(tidyverse)
library(sf)
library(osmdata) # to get openstreetmap geo data

# settings
bb <- getbb('Lausanne, Switzerland') # define the bbox, will be used to fetch OSM data within that box
dest_proj <- 2056

# OSM overpass query
q <- opq(bbox = bb)

## Get OSM geo data, reproject and discard unused features
q_bg <- q %>% 
  add_osm_feature(key = 'building') %>% 
  osmdata_sf() 

# bind polygons and multipolygons buildings into one data.frame
buildings <- q_bg$osm_polygons %>% 
  st_transform(dest_proj) %>% 
  select(name, osm_id, building) 

buildings <- bind_rows(
  buildings,
  q_bg$osm_multipolygons %>% 
    st_transform(dest_proj) %>% 
    select(name, osm_id, building)
) %>% 
  st_make_valid()

# all roads  
q_rd <- q %>% 
  add_osm_feature(key = 'highway') %>% 
  osmdata_sf() 

# recode roads type to numeric
roads <- q_rd$osm_lines %>% 
  st_transform(dest_proj) %>% 
  select(name, osm_id, highway) %>% 
  mutate(type = case_when(
    highway %in% c("motorway", "motorway_link") ~ 1,
    highway %in% c("primary", "primary_link") ~ 2,
    highway %in% c("secondary", "secondary_link") ~ 3,    
    highway %in% c("tertiary", "tertiary_link") ~ 4,   
    T ~ 5
  ))

# all railway s
q_ry <- q %>% 
  add_osm_feature(key = 'railway')  %>% 
  osmdata_sf()

railways <- q_ry$osm_lines %>% 
  st_transform(dest_proj) %>% 
  select(railway) %>% 
  mutate(type = case_when(
    railway %in% c("rail", "light_rail") ~ 1,
    railway %in% c("subway") ~ 2,
    T ~ 3
  ))

ggplot() +
  geom_sf(data = buildings, 
          fill = "#ECD89DFF",
          size = 0, alpha = 0.25) +
  geom_sf(data = roads, 
          aes(colour = type, size =1/type),
          colour = "white") + 
  geom_sf(data = railways, size = 0.2, 
          colour = "#EEBCB1FF" )+
  scale_size(range =  c(0.03, 0.2)) +
  scale_alpha(range =  c(0.8, 0.98)) +
  theme_void() +
  theme(plot.background = element_rect(fill = "#293133", "293133"),
        legend.position = "none") 

#ggsave("lausanne1.png")

Resulting map with
bb <- getbb('Lausanne, Switzerland')

bb <- getbb('Geneva, Switzerland')

Hello,
Is there a way to limit the box ? I've tried with "Nantes, France", and the result is... less than optimal :)

Yes, you should add.

coord_sf(xlim = c(ymin, ymax), 
           ylim = c(ymin, ymax)), 
           expand = F)

You can retrieve the bbox coordinates returned by getbb to pass it back to coord_sf(). If you reprojected OSM data, you would need to also reproject the bbox coordinates