oe_get | R Documentation |
This function is used to find, download, translate and read OSM extracts
obtained from several providers. It is a wrapper around oe_match()
and
oe_read()
. Check the introductory vignette, the examples and the help pages
of the wrapped functions to understand the details behind all parameters.
oe_get(
place,
layer = "lines",
...,
provider = "geofabrik",
match_by = "name",
max_string_dist = 1,
level = NULL,
download_directory = oe_download_directory(),
force_download = FALSE,
max_file_size = 5e+08,
vectortranslate_options = NULL,
osmconf_ini = NULL,
extra_tags = NULL,
force_vectortranslate = FALSE,
boundary = NULL,
boundary_type = c("spat", "clipsrc"),
download_only = FALSE,
skip_vectortranslate = FALSE,
never_skip_vectortranslate = FALSE,
quiet = FALSE
)
place |
Description of the geographical area that should be matched with
a |
layer |
Which |
... |
(Named) arguments that will be passed to |
provider |
Which provider should be used to download the data? Available
providers can be found with the following command: |
match_by |
Which column of the provider's database should be used for
matching the input |
max_string_dist |
Numerical value greater or equal than 0. What is the
maximum distance in fuzzy matching (i.e. Approximate String Distance, see
|
level |
An integer representing the desired hierarchical level in case
of spatial matching. For the |
download_directory |
Where to download the file containing the OSM data?
By default this is equal to |
force_download |
Should the |
max_file_size |
The maximum file size to download without asking in
interactive mode. Default: |
vectortranslate_options |
Options passed to the |
osmconf_ini |
The configuration file. See documentation at
gdal.org. Check details in the
introductory vignette and the help page of |
extra_tags |
Which additional columns, corresponding to OSM tags, should
be in the resulting dataset? |
force_vectortranslate |
Boolean. Force the original |
boundary |
An |
boundary_type |
A character vector of length 1 specifying the type of
spatial filter. The |
download_only |
Boolean. If |
skip_vectortranslate |
Boolean. If |
never_skip_vectortranslate |
Boolean. This is used in case the user
passed its own |
quiet |
Boolean. If |
The algorithm that we use for importing an OSM extract data into R
is divided into 4 steps: 1) match the input place
with the url of a
.pbf
file; 2) download the .pbf
file; 3) convert it into .gpkg
format
and 4) read-in the .gpkg
file. The function oe_match()
is used to
perform the first operation and the function oe_read()
(which is a
wrapper around oe_download()
, oe_vectortranslate()
and sf::st_read()
)
performs the other three operations.
An sf
object.
oe_match()
, oe_download()
, oe_vectortranslate()
, and
oe_read()
.
# Copy ITS file to tempdir so that the examples do not require internet
# connection. You can skip the next 4 lines 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
)
# Match, download (not really) and convert OSM extracts associated to a simple test.
its = oe_get("ITS Leeds", download_directory = tempdir())
class(its)
unique(sf::st_geometry_type(its))
# Get another layer from ITS Leeds extract
its_points = oe_get("ITS Leeds", layer = "points", download_directory = tempdir())
unique(sf::st_geometry_type(its_points))
# Get the .osm.pbf and .gpkg files paths
oe_get(
"ITS Leeds", download_only = TRUE, quiet = TRUE,
download_directory = tempdir()
)
oe_get(
"ITS Leeds", download_only = TRUE, skip_vectortranslate = TRUE,
quiet = TRUE, download_directory = tempdir()
)
# See also ?oe_find()
# Add additional tags
its_with_oneway = oe_get(
"ITS Leeds", extra_tags = "oneway",
download_directory = tempdir()
)
names(its_with_oneway)
table(its_with_oneway$oneway, useNA = "ifany")
# Use the query argument to get only oneway streets:
q = "SELECT * FROM 'lines' WHERE oneway == 'yes'"
its_oneway = oe_get("ITS Leeds", query = q, download_directory = tempdir())
its_oneway[, c(1, 3, 9)]
# Apply a spatial filter during the vectortranslate operations
its_poly = sf::st_sfc(
sf::st_polygon(
list(rbind(
c(-1.55577, 53.80850),
c(-1.55787, 53.80926),
c(-1.56096, 53.80891),
c(-1.56096, 53.80736),
c(-1.55675, 53.80658),
c(-1.55495, 53.80749),
c(-1.55577, 53.80850)
))
),
crs = 4326
)
its_spat = oe_get("ITS Leeds", boundary = its_poly, download_directory = tempdir())
its_clipped = oe_get(
"ITS Leeds", boundary = its_poly, boundary_type = "clipsrc",
quiet = TRUE, download_directory = tempdir()
)
plot(sf::st_geometry(its), reset = FALSE, col = "lightgrey")
plot(sf::st_boundary(its_poly), col = "black", add = TRUE)
plot(sf::st_boundary(sf::st_as_sfc(sf::st_bbox(its_poly))), col = "black", add = TRUE)
plot(sf::st_geometry(its_spat), add = TRUE, col = "darkred")
plot(sf::st_geometry(its_clipped), add = TRUE, col = "orange")
# More complex examples
## Not run:
west_yorkshire = oe_get("West Yorkshire")
# If you run it again, the function will not download the file
# or convert it again
west_yorkshire = oe_get("West Yorkshire")
# Match with place name
oe_get("Milan") # Warning: the .pbf file is 400MB
oe_get("Vatican City") # Check all providers
oe_get("Zurich") # Use Nominatim API for geolocating places
# Match with coordinates (any EPSG)
milan_duomo = sf::st_sfc(sf::st_point(c(1514924, 5034552)), crs = 3003)
oe_get(milan_duomo, quiet = FALSE) # Warning: the .pbf file is 400MB
# Match with numeric coordinates (EPSG = 4326)
oe_match(c(9.1916, 45.4650), quiet = FALSE)
# Check also alternative providers
baku = oe_get(place = "Baku")
# Other examples:
oe_get("RU", match_by = "iso3166_1_alpha2", quiet = FALSE)
# The following example mimics read_sf
oe_get("Andora", stringsAsFactors = FALSE, quiet = TRUE, as_tibble = TRUE)
## End(Not run)
# Remove .pbf and .gpkg files in tempdir
oe_clean(tempdir())
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