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.
Starting from version 0.5.2, the version
argument (see oe_get()
) can be
used to download historical OSM extracts from Geofabrik provider.
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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