write_dwc | R Documentation |
Transforms a Camera Trap Data Package object to a Darwin Core Archive.
write_dwc(x, directory)
x |
Camera Trap Data Package object, as returned by |
directory |
Path to local directory to write files to. |
CSV and meta.xml
files written to disk.
And invisibly, a list of data frames with the transformed data.
This function follows recommendations in Reyserhove et al. (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.35035/doc-0qzp-2x37")} and transform data to:
An Occurrence core.
A meta.xml
file.
Key features of the Darwin Core transformation:
The Occurrence core contains one row per observation
(dwc:occurrenceID = observationID
).
Only observations with observationType = "animal"
and
observationLevel = "event"
are included, thus excluding observations that
are (of) humans, vehicles, blanks, unknowns, unclassified and media-based.
Deployment information is included in the Occurrence core, such as
location, habitat, dwc:samplingProtocol
, deployment duration in
dwc:samplingEffort
and dwc:parentEventID = deploymentID
as grouping
identifier.
Event information is included in the Occurrence core, as event duration in
dwc:eventDate
and dwc:eventID = eventID
as grouping identifier.
Media files are included in the Audubon/Audiovisual Media Description extension, with a foreign key to the observation. A media file that is used for more than one observation is repeated.
Metadata is used to set the following record-level terms:
dwc:datasetID = id
.
dwc:datasetName = title
.
dwc:collectionCode
: first source in sources
.
dcterms:license
: license (name
) in licenses
with scope data
.
The license (name
) with scope media
is used as dcterms:rights
in
the Audubon Media Description extension.
dcterms:rightsHolder
: first contributor in contributors
with role
rightsHolder
.
dwc:dataGeneralizations
: set if coordinatePrecision
is defined.
x <- example_dataset()
write_dwc(x, directory = "my_directory")
# Clean up (don't do this if you want to keep your files)
unlink("my_directory", recursive = TRUE)
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