watersurfaces_hab
as a list of two
objectsR/read_habitatdata.R
read_watersurfaces_hab.Rd
read_watersurfaces_hab
returns the data source watersurfaces_hab
as a list of two objects:
watersurfaces_polygons
: an sf object in the Belgian Lambert 72
CRS (EPSG-code 31370) with all polygons
that contain standing water types (habitat or RIB).
watersurfaces_types
: a tibble with information on the
standing water types (HAB1, HAB2,..., HAB5) that occur within
each polygon of watersurfaces_polygons
.
read_watersurfaces_hab( file = file.path(locate_n2khab_data(), "20_processed/watersurfaces_hab/watersurfaces_hab.gpkg"), interpreted = FALSE, version = c("watersurfaces_hab_v5", "watersurfaces_hab_v4", "watersurfaces_hab_v3", "watersurfaces_hab_v2", "watersurfaces_hab_v1") )
file | The absolute or relative file path of the data source.
The default follows the data management advice in the
vignette on data storage (run |
---|---|
interpreted | If |
version | Version ID of the data source. Defaults to the latest available version defined by the package. |
A list of two objects:
watersurfaces_polygons
: an sf object of standing water polygons with four attribute variables:
polygon_id
polygon_id_ws
: id for the polygon in the watersurface map
polygon_id_habitatmap
: id's of all overlapping polygons of habitatmap_stdized
that
contain standing water habitat. The different id's are separated by '+'.
description_orig
: descriptions of all overlapping polygons of habitatmap_stdized
that
contain standing water habitat. The different descriptions are separated by '+'.
watersurfaces_types
: a tibble with following variables:
polygon_id
type
: habitat or RIB type listed in types
.
certain
: TRUE
when the type is certain and
FALSE
when the type is uncertain.
code_orig
: original type code in raw habitatmap
.
The data source watersurfaces_hab
is a combination of habitatmap_stdized
(see
read_habitatmap_stdized
) and the
watersurface map of Flanders.
It contains all standing water types in Flanders.
The data source watersurfaces_hab
is a GeoPackage, available at
Zenodo, that contains:
watersurfaces_hab_polygons
: a spatial layer with all polygons that contain standing water types listed in types
.
watersurfaces_hab_types
: a table in which every row corresponds with a combination of polygon and type.
The polygons with 2190_a habitat (dune slack ponds) are generated by selecting all watersurface polygons that overlap with dune habitat polygons (21xx) of the standardized habitat map.
For each of the other considered habitat types (31xx and rbbah) we select the watersurface polygons that overlap with the selected habitat type polygons of the standardized habitat map. We also select polygons of the standardized habitat map that contain standing water types but do not overlap with any watersurface polygon of the watersurface map.
The R-code for creating the watersurfaces_hab
data source can be found in the n2khab-preprocessing
repository.
Scheers K., Smeekens V., Wils C., Packet J., Leyssen A. & Denys L. (2022). Watervlakken versie 1.2: polygonenkaart van stilstaand water in Vlaanderen. Uitgave 2022. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2022 (31). Instituut voor Natuur en Bosonderzoek, Brussel. doi:10.21436/inbor.87014272 . #'
De Saeger S., Dhaluin P., Erens R., Guelinckx G., Hennebel D., Jacobs I., Kumpen M., Van Oost F., Spanhove T., Leyssen A., Oosterlynck P., Van Dam G., Van Hove M., Wils C. (red.) (2023). Biologische Waarderingskaart en Natura 2000 Habitatkaart, uitgave 2023. (Rapporten van het Instituut voor Natuur- en Bosonderzoek; Nr. 31). Instituut voor Natuur- en Bosonderzoek (INBO). doi:10.21436/inbor.96375305 .
Other functions involved in processing the 'habitatmap' data source:
read_habitatmap()
,
read_habitatmap_stdized()
,
read_habitatmap_terr()
Other functions involved in processing the 'watersurfaces' data source:
read_watersurfaces()
if (FALSE) { # This example supposes that your working directory or a directory up to 10 # levels above has the 'n2khab_data' folder AND that the latest version of # the 'watersurfaces_hab' # data source is present in the default subdirectory. # In all other cases, this example won't work but at least you can # consider what to do. wsh <- read_watersurfaces_hab() wsh_polygons <- wsh$watersurfaces_polygons wsh_types <- wsh$watersurfaces_types wsh_polygons wsh_types }