Changes in version 0.5.0.9000                      

  - camtrapdp now relies on R >= 4.1.0 and uses base pipes (|> rather
    than %>%) (#209).

                 Changes in version 0.5.0 (2026-01-14)                  

  - read_camtrapdp() now upgrades datasets to Camtrap DP 1.0.2 (#183)
    and provides help for unsupported versions (#198).
  - write_camtrapdp() now removes properties with NA values from
    x$taxonomic and x$contributors which caused datapackage.json to be
    invalid (#186).
  - write_eml()'s derived paragraph is now formatted as DocBook rather
    than HTML (#188).

                 Changes in version 0.4.0 (2025-06-11)                  

Reading and writing data

  - 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).
  - taxa() now removes duplicates (#130).

Filtering data

  - 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 dwc: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).

                 Changes in version 0.3.1 (2024-07-05)                  

  - Fix CRAN note (#102).

                        Changes in version 0.3.0                        

  - New function print() prints a human-readable summary of the Camera
    Trap Data Package (#8).
  - Fix fieldsEnclosedBy issue in meta.xml, so GBIF occurrence
    processing correctly handles commas in fields (#95).
  - Fix CRAN note (#94).

                 Changes in version 0.2.1 (2024-06-05)                  

  - First release on CRAN. 🎉
  - 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).

                        Changes in version 0.2.0                        

  - New function 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 eventIDs (found in the observations) to the media (#37).
  - New accessor functions deployments(), media() and observations()
    return a data frame with the deployments, media and observations
    respectively (#29). These functions also have an assignment
    equivalent (#50).
  - New accessor functions locations(), events() and taxa() return a
    data frame with unique locations, events and taxa respectively (#22,
    #57, #17).
  - New functions filter_deployments(), filter_observations() and
    filter_media() allow to filter data. They work similarly to
    {dplyr}'s filter() (#23).
  - New function write_dwc() transforms a Camera Trap Data Package to a
    Darwin Core Archive (#55).
  - New function example_package() returns the latest Camtrap DP example
    dataset and caches the result (#24, #67).
  - New function version() allows to get the version of a camtrapdp
    object.
  - New internal function check_camtrapdp() validates a camtrapdp object
    (#34).
  - New internal function 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).
  - {dplyr}'s pipe (%>%) 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).