atlas_counts | R Documentation |
Prior to downloading data it is often valuable to have some estimate of how
many records are available, both for deciding if the query is feasible,
and for estimating how long it will take to download. Alternatively, for some kinds
of reporting, the count of observations may be all that is required, for example
for understanding how observations are growing or shrinking in particular
locations, or for particular taxa. To this end, atlas_counts()
takes
arguments in the same format as atlas_occurrences()
, and
provides either a total count of records matching the criteria, or a
data.frame
of counts matching the criteria supplied to the group_by
argument.
atlas_counts(
request = NULL,
identify = NULL,
filter = NULL,
geolocate = NULL,
data_profile = NULL,
group_by = NULL,
limit = NULL,
type = c("occurrences", "species")
)
## S3 method for class 'data_request'
count(x, ..., wt, sort, name)
request |
optional |
identify |
|
filter |
|
geolocate |
|
data_profile |
|
group_by |
|
limit |
|
type |
|
x |
An object of class |
... |
currently ignored |
wt |
currently ignored |
sort |
currently ignored |
name |
currently ignored |
An object of class tbl_df
and data.frame
(aka a tibble) returning:
A single number, if group_by
is not specified or,
A summary of counts grouped by field(s), if group_by
is specified
## Not run:
# classic syntax:
galah_call() |>
galah_filter(year == 2015) |>
atlas_counts()
# synonymous with:
request_data() |>
filter(year == 2015) |>
count() |>
collect()
## End(Not run)
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