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read_camtrapdp() now updates (or creates) the spatial, temporal and taxonomic scope in the metadata based on the data (#130, #164).
read_camtrapdp() now upgrades datasets to Camtrap DP 1.0.1. The internal function convert() has been renamed to upgrade() (#113).
New write_camtrapdp() writes a Camera Trap Data Package to disk as a datapackage.json and CSV files (#137). This means you can now read, update and write Camtrap DP datasets.
Accessing data
New contributors() returns a tibble with contributors (#140).
New 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).
Transforming data
write_dwc() now adds identificationVerificationStatus for observations classified by humans with 100% certainty (#158).
write_dwc() now allows to create occurrences from media-based observations (#172).
New write_eml() transforms Camtrap DP metadata to EML (#99). This function is used by GBIF to create metadata for a dataset page.
New merge_camtrapdp() allows to merge two datasets (#112). This can be useful to combine data from multiple studies.
New 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).
New shift_time() allows to shift/correct date-times in data and metadata for specified deploymentIDs and duration (#108).
New update_taxon() allows to update taxonomic information in data and metadata (#159).
Miscellaneous
camtrapdp now relies on (and is tested for) R version 3.6.0 or higher (#138).
Internal function build_taxa() is renamed to taxonomic() (#130).