atlas_occurrences {galah} | R Documentation |
Collect a set of occurrences
Description
The most common form of data stored by living atlases are observations of
individual life forms, known as 'occurrences'. This function allows the
user to search for occurrence records that match their specific criteria,
and return them as a tibble
for analysis. Optionally,
the user can also request a DOI for a given download to facilitate citation
and re-use of specific data resources.
Usage
atlas_occurrences(
request = NULL,
identify = NULL,
filter = NULL,
geolocate = NULL,
data_profile = NULL,
select = NULL,
mint_doi = FALSE,
doi = NULL,
file = NULL
)
Arguments
request |
optional |
identify |
|
filter |
|
geolocate |
|
data_profile |
|
select |
|
mint_doi |
|
doi |
|
file |
|
Details
Note that unless care is taken, some queries can be particularly large.
While most cases this will simply take a long time to process, if the number
of requested records is >50 million, the call will not return any data. Users
can test whether this threshold will be reached by first calling
atlas_counts()
using the same arguments that they intend to pass to
atlas_occurrences()
. It may also be beneficial when requesting a large
number of records to show a progress bar by setting verbose = TRUE
in
galah_config()
, or to use compute()
to run the call before collecting
it later with collect()
.
Value
An object of class tbl_df
and data.frame
(aka a tibble) of
occurrences, containing columns as specified by galah_select()
.
Examples
## Not run:
# Download occurrence records for a specific taxon
galah_config(email = "your_email_here")
galah_call() |>
galah_identify("Reptilia") |>
atlas_occurrences()
# Download occurrence records in a year range
galah_call() |>
galah_identify("Litoria") |>
galah_filter(year >= 2010 & year <= 2020) |>
atlas_occurrences()
# Or identically with alternative syntax
request_data() |>
identify("Litoria") |>
filter(year >= 2010 & year <= 2020) |>
collect()
# Download occurrences records in a WKT-specified area
polygon <- "POLYGON((146.24960 -34.05930,
146.37045 -34.05930,
146.37045 -34.152549,
146.24960 -34.15254,
146.24960 -34.05930))"
galah_call() |>
galah_identify("Reptilia") |>
galah_filter(year >= 2010, year <= 2020) |>
galah_geolocate(polygon) |>
atlas_occurrences()
## End(Not run)