oe_get_network | R Documentation |
This function is a wrapper around oe_get()
and can be used to import a road
network given a place
and a mode of transport. Check the Details for a
precise description of the procedures used to filter the OSM ways according
to each each mode of transport.
oe_get_network(place, mode = c("cycling", "driving", "walking"), ...)
place |
Description of the geographical area that should be matched with
a |
mode |
A character string of length one denoting the desired mode of
transport. Can be abbreviated. Currently |
... |
Additional arguments passed to |
The definition of usable transport network was taken from the Python packages osmnx and pyrosm and several other documents found online, i.e. https://wiki.openstreetmap.org/wiki/OSM_tags_for_routing/Access_restrictions, https://wiki.openstreetmap.org/wiki/Key:access. See also the discussion in https://github.com/ropensci/osmextract/issues/153.
The cycling
mode of transport (i.e. the default value for mode
parameter) selects the OSM ways that meet the following conditions:
The highway
tag is not missing;
The highway
tag is not equal to abandoned
, bus_guideway
, byway
,
construction
, corridor
, elevator
, fixme
, escalator
, gallop
,
historic
, no
, planned
, platform
, proposed
, raceway
or
steps
;
The highway
tag is not equal to motorway
, motorway_link
,
footway
, bridleway
or pedestrian
unless the tag bicycle
is equal
to yes
, designated
, permissive
or destination
(see
here
for more details);
The access
tag is not equal to private
or no
unless bicycle
is
equal to yes
, permissive
or designated
(see #289);
The bicycle
tag is not equal to no
, use_sidepath
, private
, or
restricted
;
The service
tag does not contain the string private
(i.e.
private
, private_access
and similar);
The walking
mode of transport selects the OSM ways that meet the
following conditions:
The highway
tag is not missing;
The highway
tag is not equal to abandoned
, bus_guideway
,
byway
, construction
, corridor
, elevator
, fixme
,
escalator
, gallop
, historic
, no
, planned
, platform
, proposed
,
raceway
, motorway
or motorway_link
;
The highway
tag is not equal to cycleway
unless the foot
tag is
equal to yes
;
The access
tag is not equal to private
or no
unless foot
is
equal to yes
, permissive
, or designated
(see #289);
The foot
tag is not equal to no
, use_sidepath
, private
, or
restricted
;
The service
tag does not contain the string private
(i.e. private
, private_access
and similar).
The driving
mode of transport selects the OSM ways that meet the
following conditions:
The highway
tag is not missing;
The highway
tag is not equal to abandoned
,
bus_guideway
, byway
, construction
, corridor
, elevator
, fixme
,
escalator
, gallop
, historic
, no
, planned
, platform
, proposed
,
cycleway
, pedestrian
, bridleway
, path
, or footway
;
The access
tag is not equal to private
or no
unless motor_vehicle
is
equal to yes
, permissive
, or designated
(see #289);
The service
tag does not contain the string private
(i.e. private
,
private_access
and similar).
Feel free to create a new issue in the github repo if you want to suggest modifications to the current filters or propose new values for alternative modes of transport.
An sf
object.
oe_get()
# Copy the ITS file to tempdir() to make sure that the examples do not
# require internet connection. You can skip the next 4 lines (and start
# directly with oe_get_keys) when running the examples locally.
its_pbf = file.path(tempdir(), "test_its-example.osm.pbf")
file.copy(
from = system.file("its-example.osm.pbf", package = "osmextract"),
to = its_pbf,
overwrite = TRUE
)
# default value returned by OSM
its = oe_get(
"ITS Leeds", quiet = TRUE, download_directory = tempdir()
)
plot(its["highway"], lwd = 2, key.pos = 4, key.width = lcm(2.75))
# walking mode of transport
its_walking = oe_get_network(
"ITS Leeds", mode = "walking",
download_directory = tempdir(), quiet = TRUE
)
plot(its_walking["highway"], lwd = 2, key.pos = 4, key.width = lcm(2.75))
# driving mode of transport
its_driving = oe_get_network(
"ITS Leeds", mode = "driving",
download_directory = tempdir(), quiet = TRUE
)
plot(its_driving["highway"], lwd = 2, key.pos = 4, key.width = lcm(2.75))
# Remove .pbf and .gpkg files in tempdir
oe_clean(tempdir())
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