Interoperability and export

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
#> Simple feature collection with 1191 features and 5 fields
#> Geometry type: LINESTRING
#> Dimension:     XY
#> Bounding box:  xmin: -34.86427 ymin: -8.019512 xmax: -34.84686 ymax: -7.999988
#> Geodetic CRS:  WGS 84
#> First 10 features:
#>             u          v     length     highway                           name
#> 1  3567235794  655141381 143.059872       trunk         Avenida Pan Nordestina
#> 2   655141381 1572683340  39.206250       trunk         Avenida Pan Nordestina
#> 3   655141381 1572703444 108.819636 residential Rua Honorato do Espírito Santo
#> 4  1572703444  655141381 108.819636 residential Rua Honorato do Espírito Santo
#> 5   655144602  655144717  47.559016    tertiary             Rua Lucilo Varejão
#> 6   655144717  655144602  47.559016    tertiary             Rua Lucilo Varejão
#> 7   655144602 1446749601  94.315783    tertiary  Rua Manuel Clementino Marques
#> 8  1446749601  655144602  94.315783    tertiary  Rua Manuel Clementino Marques
#> 9   655144602 7271784016   2.199505    tertiary  Rua Manuel Clementino Marques
#> 10 7271784016  655144602   2.199505    tertiary  Rua Manuel Clementino Marques
#>                          geometry
#> 1  LINESTRING (-34.85776 -8.00...
#> 2  LINESTRING (-34.85716 -8.00...
#> 3  LINESTRING (-34.85716 -8.00...
#> 4  LINESTRING (-34.85675 -8.00...
#> 5  LINESTRING (-34.85867 -8.00...
#> 6  LINESTRING (-34.85889 -8.00...
#> 7  LINESTRING (-34.85867 -8.00...
#> 8  LINESTRING (-34.8595 -8.007...
#> 9  LINESTRING (-34.85867 -8.00...
#> 10 LINESTRING (-34.85865 -8.00...

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)
#> List of 2
#>  $ sources:List of 1
#>   ..$ osmnxr:List of 2
#>  $ layers :List of 1
#>   ..$ :List of 4

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)
#> # A tibble: 1 × 7
#>   n_nodes n_edges total_length mean_length mean_out_degree self_loops circuity
#>     <int>   <int>        <dbl>       <dbl>           <dbl>      <int>    <dbl>
#> 1     498    1191       95484.        80.2            2.39          1     1.06