Interoperability and export

In osmnxr: Download, Model and Analyze 'OpenStreetMap' Street Networks

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
has_sfn <- requireNamespace("sfnetworks", quietly = TRUE)
has_tg  <- requireNamespace("tidygraph", quietly = TRUE)

library(osmnxr)
g <- ox_example("olinda") # a small real network bundled with the package

An osm_graph is deliberately thin: tidy sf nodes and edges. That makes it easy to hand off to the rest of the R spatial-network ecosystem, or to export for other tools.

sf

The nodes and edges are always available as sf:

parts <- ox_as_sf(g)
parts$edges

sfnetworks and tidygraph

Convert to an sfnetwork for the tidygraph verb workflow, or to a bare tbl_graph:

net <- ox_as_sfnetwork(g)
net

tg <- ox_as_tidygraph(g)
tg

dodgr

ox_as_dodgr() returns the column layout dodgr expects, so you can use its highly optimised routing directly:

library(dodgr)
graph <- ox_as_dodgr(g)
dodgr_dists(graph, from = graph$from_id[1], to = graph$to_id[10])

GeoJSON and MapLibre

Export edges to GeoJSON, or build a MapLibre GL style fragment that points at the written data:

gj <- tempfile(fileext = ".geojson")
ox_to_geojson(g, gj)

style <- ox_to_maplibre(g, tempfile(fileext = ".geojson"))
str(style, max.level = 2)

GraphML round-trip

ox_save_graphml() / ox_load_graphml() persist the graph in a format compatible with OSMnx, NetworkX and Gephi. Edge geometry is stored as WKT, so the round-trip is lossless:

f <- tempfile(fileext = ".graphml")
ox_save_graphml(g, f)
g2 <- ox_load_graphml(f)
ox_basic_stats(g2)

osmnxr documentation built on Oct. 20, 2026, 1:07 a.m.