
Corine Land Cover Retrieve land cover polygons in Germany based on the Corine Land Cover (CLC) nomenclature. Corine Land Cover is a way to project by the European Commission to consistenly classify both land cover and land use.
bkg_clc.Rd
This function interfaces the wfs_clc5_*
products of the BKG.
Usage
bkg_clc(
...,
year = "2018",
bbox = NULL,
poly = NULL,
predicate = "intersects",
filter = NULL,
epsg = 3035,
properties = NULL,
max = NULL
)
Arguments
- ...
Used to construct CQL filters. Dot arguments accept an R-like syntax that is converted to CQL queries internally. These queries basically consist of a property name on the left, an aribtrary vector on the right, and an operator that links both sides. If multiple queries are provided, they will be chained with
AND
. The following operators and their respective equivalents in CQL and XML are supported:R CQL XML ==
=
PropertyIsEqualTo
!=
<>
PropertyIsNotEqualTo
<
<
PropertyIsLessThan
>
>
PropertyIsGreaterThan
>=
>=
PropertyIsGreaterThanOrEqualTo
<=
<=
PropertyIsLessThanOrEqualTo
%LIKE%
LIKE
PropertyIsLike
%ILIKE%
ILIKE
%in%
IN
To construct more complex queries, you can use the
filter
argument to pass CQL queries directly. Also note that you can switch between CQL and XML queries usingoptions(ffm_query_language = "xml")
. See alsowfs_filter
.- year
Version year of the dataset. You can use
latest
to retrieve the latest dataset version available on the BKG's geodata center. Older versions can be browsed using the archive.- bbox
An sf geometry or a boundary box vector of the format
c(xmin, ymin, xmax, ymax)
. Used as a geometric filter to include only those geometries that relate tobbox
according to the predicate specified inpredicate
. If an sf geometry is provided, coordinates are automatically transformed to ESPG:25832 (the default CRS), otherwise they are expected to be in EPSG:25832.- poly
An sf geometry. Used as a geometric filter to include only those geometries that relate to
poly
according to the predicate specified inpredicate
. Coordinates are automatically transformed to ESPG:25832 (the default CRS).- predicate
A spatial predicate that is used to relate the output geometries with the object specified in
bbox
orpoly
. For example, ifpredicate = "within"
, andbbox
is specified, returns only those geometries that lie withinbbox
. Can be one of"equals"
,"disjoint"
,"intersects"
,"touches"
,"crosses"
,"within"
,"contains"
,"overlaps"
,"relate"
,"dwithin"
, or"beyond"
. Defaults to"intersects"
.- filter
A character string containing a valid CQL or XML filter. This string is appended to the query constructed through
...
. Use this argument to construct more complex filters. Defaults toNULL
.- epsg
An EPSG code specifying a coordinate reference system of the output. If you're unsure what this means, try running
sf::st_crs(...)$epsg
on a spatial object that you are working with. Defaults to 3035.- properties
Vector of columns to include in the output.
- max
Maximum number of results to return.
Value
An sf dataframe with polygon geometries and the following columns:
clc*
: CLC land cover classes for the given year. An overview of all CLC classes can be found in the Copernicus documentation.shape_length
: Circumference of the polygon in metersshape_area
: Area of the polygon in square meters
Query language
By default, WFS requests use CQL (Contextual Query Language) queries for
simplicity. CQL queries only work together with GET requests. This means
that when the URL is longer than 2048 characters, they fail.
While POST requests are much more flexible and able to accommodate long
queries, XML is really a pain to work with and I'm not confident in my
approach to construct XML queries. You can control whether to send GET or
POST requests by setting options(ffm_query_language = "XML")
or options(ffm_query_language = "CQL")
.
Examples
if (FALSE) { # getFromNamespace("ffm_run_examples", ns = "ffm")()
# Get glaciers in Germany
bkg_clc(clc18 == "335")
# Get all coastal wetlands
bkg_clc(clc18 %LIKE% "42%")
# Get only wetlands in Lower Saxony
rlang::local_options(ffm_query_language = "xml")
lowsax <- bkg_admin(level = "lan", scale = "5000", sn_l == "03", gf == 9)
wetlands <- bkg_clc(clc18 %LIKE% "4%", poly = lowsax)
plot(lowsax$geometry)
plot(wetlands$geometry, add = TRUE)
}