Converts virtual species samples generated with the virtualspecies
package into a spatial (sf
) object compatible with gcube workflows.
Optionally extracts values from raster layers at the sample locations.
Arguments
- virtual_sample
A list output from
virtualspecies::sampleOccurrences()
, containingsample.points
, a data frame with columnsx
andy
, andoriginal.distribution.raster
, aterra::SpatRaster
object.- raster_lyr
Optional. A
terra::SpatRaster
from which to extract values at sample locations. For example, habitat suitability or probability of occurrence rasters.
Value
An sf
object (point geometry) with the following columns:
- id
A character ID for each sample point (based on row names of
sample.points
).- observed
Logical value indicating if the sample was observed (
TRUE
) or a non-detection (FALSE
), based on theObserved
column.- ...
Any additional columns from
sample.points
or extracted from the raster layer(s).- geometry
Point geometry in the coordinate reference system of the original distribution raster.
Details
This function is typically used as the first step after sampling from a
virtual species distribution before applying functions like
filter_observations()
, add_coordinate_uncertainty()
,
and grid_designation()
. See the tutorial
"Create occurrence cubes for virtual species" for a full workflow example.
If raster layers are provided through raster_lyr
, the values at each point
are extracted using terra::extract()
and appended to the output.
See also
Other main:
add_coordinate_uncertainty()
,
filter_observations()
,
grid_designation()
,
sample_observations()
,
simulate_occurrences()
Examples
if (FALSE) { # \dontrun{
# After generating a virtual species and sampling occurrences
# with virtualspecies::sampleOccurrences()
virtualsample_to_sf(virtual_sample)
# Optionally extract suitability and occurrence probability
virtualsample_to_sf(
virtual_sample,
raster_lyr = c(virtual_species$suitab.raster,
virtual_species$probability.of.occurrence)
)
} # }