| catr_wfs_get_buildings_bbox | R Documentation |
Retrieve spatial building data through two types of WFS queries:
By bounding box: catr_wfs_get_buildings_bbox() retrieves objects
included in the provided bounding box. See Bounding box.
By cadastral reference: catr_wfs_get_buildings_rc() retrieves objects
for specific cadastral references.
catr_wfs_get_buildings_bbox(
x,
what = c("building", "buildingpart", "other"),
srs = NULL,
verbose = FALSE
)
catr_wfs_get_buildings_rc(
rc,
what = c("building", "buildingpart", "other"),
srs = NULL,
verbose = FALSE
)
x |
Input defining the query area. See Bounding box. It can be:
|
what |
Information to load, either |
srs |
SRS/CRS to use in the query. To see allowed values, use
catr_srs_values, specifically the |
verbose |
Logical. Whether to display informational messages. |
rc |
Cadastral reference to retrieve. |
An sf object. Returns NULL if the
data cannot be
retrieved.
The API service is limited to a bounding box of 4 km2 and a maximum of 5,000 elements.
When x is a numeric vector, make sure that srs matches the
coordinate values. This function queries the bounding box in
EPSG:25830, ETRS89 / UTM zone 30N, to work around a
potential API issue.
When x is an sf object, the srs value is ignored. In
this case, the bounding box of the sf object is
used for the query (see sf::st_bbox()).
The result uses the SRS of the input spatial object or the srs value
provided with a numeric vector.
INSPIRE services for cadastral cartography.
catr_wms_get_layer() downloads a map image using the returned spatial
object as its extent (x).
Work with cadastral buildings:
catr_atom_get_buildings(),
catr_atom_get_buildings_db_all()
Query WFS INSPIRE services:
catr_wfs_get_address_bbox(),
catr_wfs_get_parcels_bbox(),
inspire_wfs_get()
# Using a bounding box
building <- catr_wfs_get_buildings_bbox(
c(
376550,
4545424,
376600,
4545474
),
srs = 25830
)
library(ggplot2)
ggplot(building) +
geom_sf() +
labs(title = "Search using a bounding box")
# Using a cadastral reference
rc <- catr_wfs_get_buildings_rc("6656601UL7465N")
library(ggplot2)
ggplot(rc) +
geom_sf() +
labs(title = "Search using rc")
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