Gather sources from GBIF data for citation

When using data obtained via ssarp::get_data() and filtered with ssarp::find_areas() for a publication, you must keep a record of the datasets used in your analysis. This function assists in creating the dataframe necessary to follow GBIF's citation guidelines (see References).

Usage

get_sources(occs)

Arguments

occs

The occurrence record dataframe returned by ssarp::get_data() or ssarp::find_areas().

Value

A dataframe of dataset keys and the number of occurrence records associated with each key that were gathered with ssarp::get_data() and/or filtered with ssarp::find_areas().

References

• GBIF citation guidelines

• Data obtained via ssarp::get_data() and filtered with ssarp::find_areas() falls under the derived datasets distinction

• More information about creating derived datasets

Examples

# The GBIF key for the Anolis genus is 8782549
# Read in example dataset filtered from:
#  dat <- rgbif::occ_search(taxonKey = 8782549,
#                           hasCoordinate = TRUE,
#                           limit = 10000)
dat <- read.csv(system.file("extdata",
                            "ssarp_Example_Dat.csv",
                            package = "ssarp"))
#> Warning: file("") only supports open = "w+" and open = "w+b": using the former
#> Error in read.table(file = file, header = header, sep = sep, quote = quote,     dec = dec, fill = fill, comment.char = comment.char, ...): no lines available in input
source_df <- get_sources(occs = dat)
#> Error: object 'dat' not found