Read aerial survey entries, optionally filtering by various parameters. An entry is synonymous with an observation or the records of animal sightings collected during the survey.
Usage
sight_read_entries(
species = NULL,
survey_type = NULL,
analysis_unit = NULL,
management_unit = NULL,
stratum = NULL,
bio_year = NULL,
is_target_species = NULL,
is_selected = NULL,
is_surveyed = NULL,
sort = NULL,
pages = list(omit = 1),
includes = NULL,
appends = NULL,
dry_run = FALSE,
...
)
sight_read_entries_id(
species_id = NULL,
survey_type_id = NULL,
analysis_unit_id = NULL,
management_unit_id = NULL,
stratum_id = NULL,
bio_year = NULL,
is_target_species = NULL,
is_selected = NULL,
is_surveyed = NULL,
sort = NULL,
pages = list(omit = 1),
includes = NULL,
appends = NULL,
dry_run = FALSE,
...
)Arguments
- species
the common name of the species, for example "Mule Deer"
- survey_type
the name of the survey type, for example "Sightability"
- analysis_unit
the name of the analysis unit
- management_unit
the name of the game management unit
- stratum
the name of the stratum, for example "High"
- bio_year
the biological year the survey was conducted in, for example the winter of 2022-2023 would be 2022
- is_target_species
logical, when TRUE only observations of the focal species of the survey are returned
- is_selected
logical, when TRUE only observations in selected subunits are returned
- is_surveyed
logical, when TRUE only observations in surveyed subunits are returned
- sort
a named list of sorting options
- pages
a named list with pagination options, see details
- includes
a character vector of related resources to include, see details
- appends
a character vector of fields to append to each entry, see details
- dry_run
If
TRUE, print the HTTP request without sending it and return the request object invisibly. Useful for debugging.- ...
Additional arguments passed to the underlying spdgt.auth function (e.g.,
verbosity,timeout).- species_id
the ID of the species
- survey_type_id
the ID of the survey type
- analysis_unit_id
the ID of the analysis unit
- management_unit_id
the ID of the game management unit
- stratum_id
the ID of the stratum
Value
A tibble with one row per observation. Key columns:
- entry_id
Integer. Unique identifier for the observation.
- survey_id, design_id
Integer. Parent survey and design identifiers.
- species_id, species
Species identifier and name.
- survey_type_id
Integer. Survey type identifier.
- bio_year
Integer. Biological year.
- date
Character. Date of observation.
- analysis_unit_id, analysis_unit
Analysis unit (DAU) identifier and name.
- management_unit_id, management_unit
Management unit (GMU) identifier and name.
- subunit_id, subunit
Subunit identifier and name.
- stratum_id, stratum
Stratum identifier and name.
- is_selected, is_surveyed
Logical. Whether the subunit was selected/surveyed.
- total, males, females, youngs, unclass
Integer. Count columns.
- activity
Character. Animal activity (e.g., "Moving", "Bedded").
- vegetation_type, screen_type
Character. Habitat covariates.
- snow_percentage, screen_percentage
Integer. Covariate percentages (0–100).
- metadata
List column. Nested tibble with additional observation attributes.
- latitude, longitude
Numeric. Observation coordinates.
Details
The pages argument is a named list with the following options:
omit: page number to omit, default is 1 which returns all recordssize: number of records to returnnumber: the page number to return given the size
The includes argument is a character vector of related resources to
include. Valid values are:
aerialSurvey: include aerial survey detailssubunit: include subunit detailsspecies: include species details
The appends argument is a character vector of fields to append
to each entry.
Valid values are:
polygon: append the geometry of the entry in WGS 84 (EPSG 4326)
See also
lkup_species_id(), lkup_survey_type_id(), lkup_dau_id(),
lkup_gmu_id(), lkup_strata_id() for converting names to IDs