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()
.
Examples
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\")"
See also
This function gives viable profile names for passing to
galah_filter()
. For more detail on a given profile see
search_profile_attributes()
.