oe_match | R Documentation |
This function is used to match an input place
with the URL of a .osm.pbf
file (and its file-size, if present). The URLs are stored in several
provider's databases. See oe_providers()
and examples.
oe_match(place, ...)
## Default S3 method:
oe_match(place, ...)
## S3 method for class 'bbox'
oe_match(place, ...)
## S3 method for class 'sf'
oe_match(place, ...)
## S3 method for class 'sfc'
oe_match(place, provider = "geofabrik", level = NULL, quiet = FALSE, ...)
## S3 method for class 'numeric'
oe_match(place, provider = "geofabrik", quiet = FALSE, ...)
## S3 method for class 'character'
oe_match(
place,
provider = "geofabrik",
quiet = FALSE,
match_by = "name",
max_string_dist = 1,
...
)
place |
Description of the geographical area that should be matched with
a |
... |
arguments passed to other methods |
provider |
Which provider should be used to download the data? Available
providers can be browsed with |
level |
An integer representing the desired hierarchical level in case
of spatial matching. For the |
quiet |
Boolean. If |
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
|
If the input place is specified as a spatial object (either sf
or sfc
),
then the function will return a geographical area that completely contains
the object (or an error). The argument level
(which must be specified as an
integer between 1 and 4, extreme values included) is used to select between
multiple geographically nested areas. We could roughly say that smaller
administrative units correspond to higher levels. Check the help page of the
chosen provider for more details on level
field. By default, level = NULL
, which means that oe_match()
will return the area corresponding to
the highest available level. If there is no geographical area at the desired
level, then the function will return an error. If there are multiple areas at
the same level
intersecting the input place, then the function will return
the area whose centroid is closest to the input place.
If the input place is specified as a character vector and there are multiple
plausible matches between the input place and the match_by
column, then the
function will return a warning and it will select the first match. See
Examples. On the other hand, if the approximate string distance between the
input place
and the best match in match_by
column is greater than
max_string_dist
, then the function will look for exact matches (i.e.
max_string_dist = 0
) in the other supported providers. If it finds an exact
match, then it will return the corresponding URL. Otherwise, if match_by
is
equal to "name"
, then it will try to geolocate the input place
using the
Nominatim API,
and then it will perform a spatial matching operation (see Examples and
introductory vignette), while, if match_by != "name"
, then it will return
an error.
The fields iso3166_1_alpha2
and iso3166_2
are used by Geofabrik provider
to perform matching operations using ISO 3166-1 alpha-2 and ISO 3166-2 codes. See
geofabrik_zones for more details.
A list with two elements, named url
and file_size
. The first
element is the URL of the .osm.pbf
file associated with the input
place
, while the second element is the size of the file in bytes (which
may be NULL
or NA
)
oe_providers()
and oe_match_pattern()
.
# The simplest example:
oe_match("Italy")
# The default provider is "geofabrik", but we can change that:
oe_match("Leeds", provider = "bbbike")
# By default, the matching operations are performed through the column
# "name" in the provider's database but this can be a problem. Hence,
# you can perform the matching operations using other columns:
oe_match("RU", match_by = "iso3166_1_alpha2")
# Run oe_providers() for reading a short description of all providers and
# check the help pages of the corresponding databases to learn which fields
# are present.
# You can always increase the max_string_dist argument, but it can be
# dangerous:
oe_match("London", max_string_dist = 3, quiet = FALSE)
# Match the input zone using an sfc object:
milan_duomo = sf::st_sfc(sf::st_point(c(1514924, 5034552)), crs = 3003)
oe_match(milan_duomo, quiet = FALSE)
leeds = sf::st_sfc(sf::st_point(c(430147.8, 433551.5)), crs = 27700)
oe_match(leeds, provider = "bbbike")
# If you specify more than one sfg object, then oe_match will select the OSM
# extract that covers all areas
milan_leeds = sf::st_sfc(
sf::st_point(c(9.190544, 45.46416)), # Milan
sf::st_point(c(-1.543789, 53.7974)), # Leeds
crs = 4326
)
oe_match(milan_leeds)
# Match the input zone using a numeric vector of coordinates
# (in which case crs = 4326 is assumed)
oe_match(c(9.1916, 45.4650)) # Milan, Duomo using CRS = 4326
# The following returns a warning since Berin is matched both
# with Benin and Berlin
oe_match("Berin", quiet = FALSE)
# If the input place does not match any zone in the chosen provider, then the
# function will test the other providers:
oe_match("Leeds")
# If the input place cannot be exactly matched with any zone in any provider,
# then the function will try to geolocate the input and then it will perform a
# spatial match:
## Not run:
oe_match("Milan")
## End(Not run)
# The level parameter can be used to select smaller or bigger geographical
# areas during spatial matching
yak = c(-120.51084, 46.60156)
## Not run:
oe_match(yak, level = 3) # error
oe_match(yak, level = 2) # by default, level is equal to the maximum value
oe_match(yak, level = 1)
## End(Not run)
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