Summarise WAStD data per day and site

summarise_wastd_data_per_day_site(x)

Arguments

x

An object of S3 class wastd_data, e.g. the output of wastdr::download_wastd_turtledata(), optionally filtered to a locality by wastdr::filter_wastd_turtledata(area_name="Thevenard Island").

Value

A tibble, grouped and ordered by area, site, and date, with counts of surveys, tracks (by nest type), nest and general disturbances, live sightings and mortalities. The columns returned are:

Grouping variables

  • area_name The WAStD locality, e.g. Thevenard Island. This is only useful if the summary combines several localities.

  • site_name The WAStD site, e.g. a nesting beach. This is useful to filter an interactive table to one site.

  • calendar_date_awst The calendar date (NOT the "turtle date"). This one should be kind of self-explanatory.

Tally variables

  • no_surveys The number of "production" surveys on that site and date. In almost all cases, there will be no more than one production survey for any given site and date. Two and more indicate a need to QA and merge these potential duplicate surveys in WAStD.

  • body_pit The number of body pits found.

  • false_crawl The number of "tracks without nest". These are confirmed "no nest" tracks. The total number of "tracks without nest" can be higher, in that some might have been missed by the observer, and others might have been ambiguous (track unsure) or not closer inspected (track not assessed).

  • hatched_nest The number of freshly hatched nests. These could have been recorded as "track with nest" after the initial laying night.

  • nest The number of incubating nests, neither freshly made (successful crawl), nor hatched (hatched nest). The only reason to record these is to record a resighting of a nest tag marking that nest.

  • successful_crawl The number of confirmed "tracks with nest". The total number of successfully made nests can be higher, in that some might have been missed by the observer, and others might have been ambiguous (track unsure) or not closer inspected (track not assessed).

  • track_not_assessed Tracks which have not been further assessed for the presence of a nest. This can happen when tracks are convoluted, covered, vanish in the dunes, or when the observer is under time pressure.

  • track_unsure Tracks where the observer is not sure whether a nest exists or not. Some of these records come with photos, and some of those with photos can be reasonably determined by an experienced QA operator. There will always remain a number of "track, assessed for nest, unsure if nest" records, and it is up to the analyst how to determine their nesting success, i.e. whether to count those as nest or not.

  • disturbed_nests The total number of disturbed or predated nests. The primary presence of these nests is also included in the nest count from earlier columns.

  • general_dist The total number of general signs of disturbance or predator presence. These signs are not linked to any nest in particular.

  • live_sightings The total number of encounters with animals with an alive outcome. This includes tagged turtles, rescued turtles, turtles encountered in-water. Note that turtle tagging is currently recorded in the Turtle Tagging database, a legacy system pending sunsetting.

  • mortalities The total number of encounters with dead animals. This includes strandings and other incidents where the animal is dead at the time of encounter or soon after.

  • track_tallies The total number of line transects, during which tallies of turtle tracks and disturbance or predation may be recorded.

See also

Other wastd: add_nest_labels(), disturbance_by_season(), filter_alive(), filter_dead(), filter_disturbance(), filter_predation(), ggplot_disturbance_by_season(), ggplot_emergence_success(), ggplot_hatching_success(), ggplot_hatchling_misorientation(), ggplot_nesting_success_per_area_season_species_pct(), ggplot_nesting_success_per_area_season_species(), ggplot_sighting_status_per_area_season_species(), ggplot_total_emergences_per_area_season_species(), ggplot_track_success_by_date(), ggplot_track_successrate_by_date(), hatching_emergence_success_area(), hatching_emergence_success_site(), hatching_emergence_success(), map_dist(), map_fanangles(), map_mwi(), map_nests(), map_tracks(), map_wastd_wamtram_sites(), map_wastd(), nesting_success_per_area_day_species(), nesting_success_per_area_season_species(), nesting_type_by_area_season_age_species(), nesting_type_by_area_season_species(), nesting_type_by_season_age_species(), nesting_type_by_season_calendarday_age_species(), nesting_type_by_season_calendarday_species(), nesting_type_by_season_day_species(), nesting_type_by_season_species(), nesting_type_by_season_week_age_species(), nesting_type_by_season_week_site_species(), nesting_type_by_season_week_species(), nesting_type_by_site_season_age_species(), nesting_type_by_site_season_species(), parse_animal_encounters(), parse_area_sf(), parse_area(), parse_encounterobservations(), parse_surveys(), parse_turtle_nest_encounters(), print.wastd_api_response(), sighting_status_per_area_season_species(), sighting_status_per_site_season_species(), summarise_hatching_and_emergence_success(), total_emergences_per_area_season_species(), total_emergences_per_site_season_species(), track_success_by_species(), track_success(), tracks_ts()

Examples

if (FALSE) {
data("wastd_data", package = "wastdr")
x <- wastd_data %>%
  wastdr::filter_wastd_turtledata(area_name = "Thevenard Island") %>%
  summarise_wastd_data_per_day_site()

x <- wastd_data %>%
  wastdr::filter_wastd_turtledata(area_name = "Troughton Island") %>%
  summarise_wastd_data_per_day_site()

x <- wastd_data %>%
  wastdr::filter_wastd_turtledata(area_name = "Eco Beach") %>%
  summarise_wastd_data_per_day_site()
}