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2. Getting OSM data for delineation

In this notebook we download OpenStreetMap (OSM) data needed for the delineation of the urban river corridor of River Dâmbovita in Bucharest, Romania. The simplest approach is to use define_aoi() to set up parameters with automatic CRS selection, then fetch all OSM data with get_osm().

library(rcrisp)
library(purrr)

city_name <- "Bucharest"
river_name <- "Dâmbovita"

# Define area of interest with automatic CRS selection
aoi <- define_aoi(city_name, river_name,
                  network_buffer = 3000,    # in m
                  buildings_buffer = 100)   # in m

# Retrieve all OSM data
bucharest_osm <- get_osm(aoi)

The resulting object is a list with all the OSM layers needed for delineation.

names(bucharest_osm)
#> [1] "bb"               "river_centerline" "aoi_network"      "streets"         
#> [5] "railways"         "river_surface"    "aoi_buildings"    "buildings"       
#> [9] "boundary"

All layers combined (buildings not shown)

Individual layers can be written to disk before being read in for delineation.

walk2(
  bucharest_osm,
  names(bucharest_osm),
  ~ st_write(
    .x,
    dsn = sprintf("%s_%s.gpkg", .y, city_name),
    append = FALSE,
    quiet = TRUE
  )
)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.