write_camtrapdp()
writes a Camera Trap Data Package to disk as a datapackage.json
and CSV files (#137).merge_camtrapdp()
allows to merge two datasets (#112).write_eml()
transforms Camtrap DP metadata to EML (#99).round_coordinates()
allows to fuzzy/generalize location information by rounding deployment latitude
and longitude
. It also updates coordinateUncertainty
in the deployments and coordinatePrecision
and spatial scope in the metadata (#106).shift_time()
allows to shift/correct date-times in data and metadata for specified deploymentIDs and duration (#108).individuals()
returns a data frame with unique individuals (#149).filter_deployments()
and deployments()<-
now update the spatial, temporal and taxonomic scope in the metadata based on the returned data (#100, #132).filter_observations()
, filter_media()
, media()<-
and observations()<-
now update the taxonomic scope in the metadata based on the returned data (#89, #100, #130).read_camtrapdp()
now updates the spatial and temporal scope in metadata based on the data (#130).read_camtrapdp()
now upgrades datasets to Camtrap DP 1.0.1. The internal function convert()
has been renamed to upgrade()
(#113).build_taxa()
is renamed to taxonomic()
(#130).taxa()
now removes duplicates (#130).print()
prints a human-readable summary of the Camera Trap Data Package (#8).fieldsEnclosedBy
issue in meta.xml
, so GBIF occurrence processing correctly handles commas in fields (#95).write_dwc()
no longer writes to "."
by default, since this is not allowed by CRAN policies. The user needs to explicitly define a directory (#79).read_camtrapdp()
reads data files from a Camtrap DP into memory (#9). It will make the data easier to use, by assigning taxonomic information (found in the metadata) to the observations and eventID
s (found in the observations) to the media (#37).deployments()
, media()
and observations()
return a data frame with the deployments, media and observations respectively (#29). These functions also have an assignment equivalent (#50).locations()
, events()
and taxa()
return a data frame with unique locations, events and taxa respectively (#22, #57, #17).filter_deployments()
, filter_observations()
and filter_media()
allow to filter data. They work similarly to dplyr's filter()
(#23).write_dwc()
transforms a Camera Trap Data Package to a Darwin Core Archive (#55).example_package()
returns the latest Camtrap DP example dataset and caches the result (#24, #67).version()
allows to get the version of a camtrapdp object.check_camtrapdp()
validates a camtrapdp object (#34).convert()
converts camtrapdp objects to the latest version. This function is currently not used, as the only supported version is Camtrap DP 1.0 (#9).%>%
) is included in NAMESPACE, so you don’t have to load dplyr (or magrittr) to use it (#56). %>%
and .data
are imported at package level, so they can be used in functions without namespace (#37).Add the following code to your website.
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