[This article was first published on r.iresmi.net, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Day 7 of 30DayMapChallenge : « Openstreetmap » (previously).
What if all private swimming pools could be merged into one 25 m width pool? OSM is not just a map, it’s a database, so ask OSM… I know that not all swimming pools are present in OSM, but it’s just an exercise
We will use a simplified map of France in the background and ask to the Overpass API (with {osmdata}) all « leisure=swimming_pool » and « access=private ». It takes 6 hours and 15 Go of RAM…
library(dplyr) library(readr) library(ggplot2) library(sf) library(osmdata) library(ggspatial) library(glue) library(httr) library(units) fr_bbox <- getbb("France métropolitaine", featuretype = "area") GET("http://r.iresmi.net/wp-content/uploads/2021/12/adminexpress_simpl.gpkg_.zip", write_disk("~/adminexpress_simpl.gpkg_.zip")) dir.create("~/adminexpress") unzip("~/adminexpress_simpl.gpkg_.zip", exdir = "~/adminexpress") fr <- read_sf("~/adminexpress/adminexpress_simpl.gpkg", layer = "region") %>% filter(insee_reg > "06") # 6 hours pool <- opq(fr_bbox, timeout = 600) %>% add_osm_feature(key = "leisure", value = "swimming_pool") %>% add_osm_feature(key = "access", value = "private") %>% osmdata_sf() pool_p <- pool$osm_polygons %>% select(osm_id) pool_mp <- pool$osm_multipolygons %>% select(osm_id) rm(pool) ; gc() pool_fr <- pool_p %>% st_filter(fr) %>% mutate(area = st_area(geometry)) %>% bind_rows(pool_mp %>% st_make_valid() %>% st_filter(fr) %>% mutate(area = st_area(geometry))) olympic_pool_dim <- pool_fr %>% st_drop_geometry() %>% summarise(total_area = drop_units(sum(area, na.rm = TRUE))) %>% mutate(width = 25, length = total_area / width) # centroid_fr <- fr %>% # st_transform("EPSG:2154") %>% # st_union() %>% # st_centroid() rot <- function(a) matrix(c(cos(a), sin(a), -sin(a), cos(a)), 2, 2) olympic_pool <- c(0, 0, 0, olympic_pool_dim$length, olympic_pool_dim$width, olympic_pool_dim$length, olympic_pool_dim$width, 0, 0, 0) %>% matrix(ncol = 2, byrow = TRUE) %>% list() %>% st_polygon() %>% st_sfc(crs = "EPSG:2154") * rot(pi / 4) + c(400000, 6300000) fr %>% st_transform("EPSG:2154") %>% ggplot() + geom_sf() + geom_sf(data = st_sf(olympic_pool, crs = "EPSG:2154"), color = "blue") + labs(title = "The giant French Olympic-size swimming pool", subtitle = glue("What if all private swimming pools could be merged into one 25 m width pool?"), caption = glue("pool data from © OpenStreetMap contributors map IGN Adminexpress r.iresmi.net - {Sys.Date()}")) + annotation_scale(height = unit(0.1, "cm")) + theme_minimal() + theme(panel.grid = element_blank(), axis.text = element_blank()) ggsave("pool.png", width = 20, height = 12.36, units = "cm", scale = 1.1)
We get an Olympic swimming pool (25 m width) measuring at least 755 km in length !
To leave a comment for the author, please follow the link and comment on their blog: r.iresmi.net.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.