habitatmap
as an sf
multipolygon layerR/read_habitatdata.R
read_habitatmap.Rd
Returns the raw data source habitatmap
(De Saeger et al., 2020)
as a standardized sf
multipolygon layer
(tidyverse-styled, internationalized) in the Belgian Lambert 72 CRS
(EPSG-code 31370).
Given the size of the data source, this function
takes a bit longer than usual to run.
read_habitatmap( file = file.path(locate_n2khab_data(), "10_raw/habitatmap"), filter_hab = FALSE, version = c("habitatmap_2020", "habitatmap_2018") )
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 |
---|---|
filter_hab | If |
version | Version ID of the data source. Defaults to the latest available version defined by the package. |
A Simple feature collection of
type MULTIPOLYGON
.
De Saeger, S., Guelinckx, R., Oosterlynck, P., De Bruyn, A., Debusschere, K., Dhaluin, P., Erens, R., Hendrickx, P., Hennebel, D., Jacobs, I., Kumpen, M., Opdebeeck, J., Spanhove, T., Tamsyn, W., Van Oost, F., Van Dam, G., Van Hove, M., Wils, C., Paelinckx, D. (2020). Biologische Waarderingskaart en Natura 2000 Habitatkaart, uitgave 2020. (Rapporten van het Instituut voor Natuur- en Bosonderzoek; Nr. 35). Instituut voor Natuur- en Bosonderzoek (INBO). doi:10.21436/inbor.18840851 .
De Saeger, S., Oosterlynck, P. & Paelinckx, D. (2017). The Biological Valuation Map (BVM): a field-driven survey of land cover and vegetation in the Flemish Region of Belgium. Documents phytosociologiques - Actes du colloque de Saint-Mandé 2012 - Prodrome et cartographie des végétations de France - 2017. Vol. 6: 372-382.
Other functions involved in processing the 'habitatmap' data source:
read_habitatmap_stdized()
,
read_habitatmap_terr()
,
read_watersurfaces_hab()
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 'habitatmap' # 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. hm <- read_habitatmap() hm }