The ALA provides a number of pre-built data quality profiles for
filtering data according to quality checks. A data quality profile can
be specified in the profile argument in galah_filter()
and used to filter searches in atlas_occurrences(),
atlas_counts() and atlas_species().
show_all_profiles()An object of class tbl_df and data.frame (aka a tibble) of
available profiles
Show a list of all available data quality profiles
show_all_profiles() #> # A tibble: 7 x 4 #> id name shortName description #> <int> <chr> <chr> <chr> #> 1 2 ALA General (pre-pipelines) ALA-legacy "The default ALA profile filters out record~ #> 2 35 Species Distribution Modelling (CSDM) (pre-pipelines) CSDM-legacy "Base filters for the Collaborative Species~ #> 3 44 Data licensed for all uses (pre-pipelines) re-usable-legacy "Data licensed for re-use, including commer~ #> 4 92 ALA General ALA "The default ALA profile filters out record~ #> 5 124 Species Distribution Modelling (CSDM) CSDM "Base filters for the Collaborative Species~ #> 6 133 Data licensed for all uses re-usable "Data licensed for re-use, including commer~ #> 7 224 AVH AVH "AVH data quality profile"
Values in the shortName column can be used with galah_filter() to
narrow your data query results
galah_filter(profile == "ALA") #> Warning: Invalid field(s) detected. #> i See a listing of all valid fields with `show_all_fields()`. #> i Search for the valid name of a desired field with `search_fields()`. #> x Invalid field(s): profile. #> # A tibble: 1 x 4 #> variable logical value query #> <chr> <chr> <chr> <chr> #> 1 profile == ALA "(profile:\"ALA\")"
This function gives viable profile names for passing to
galah_filter(). For more detail on a given profile see
search_profile_attributes().