Utility to summarise a tibble of tracks with nest excavation data. If the dataset does not contain variables egg_count or egg_count_calculated, they will be added and set to NA_integer_. This can happen if the subset of data retrieved from WAStD happens to contain all NA in either of these variables, as parse_encounterobservations drops columns with all NA.

summarise_hatching_and_emergence_success(data)

Arguments

data

The output of wastd_data$nest_excavations

Details

Calculates:

• count The count of nests

• clutch_size_fresh Mean observed clutch size during nesting event

• clutch_size_mean, sd, min, max Reconstructed clutch size stats

• hatching_success_mean, sd, min, max Hatching success stats

• emergence_success_mean, sd, min, max Emergence success stats

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_wastd_data_per_day_site(), total_emergences_per_area_season_species(), total_emergences_per_site_season_species(), track_success_by_species(), track_success(), tracks_ts()

Examples

data("wastd_data")
summarise_hatching_and_emergence_success(wastd_data$nest_excavations)
#> # A tibble: 1 × 14
#>   count clutch…¹ clutc…² clutc…³ clutc…⁴ clutc…⁵ hatch…⁶ hatch…⁷ hatch…⁸ hatch…⁹
#>   <int>    <dbl>   <dbl>   <dbl>   <int>   <int>   <dbl>   <dbl>   <dbl>   <dbl>
#> 1    72       NA    39.9    20.4       0      70      NA      NA      NA      NA
#> # … with 4 more variables: emergence_success_mean <dbl>,
#> #   emergence_success_sd <dbl>, emergence_success_min <dbl>,
#> #   emergence_success_max <dbl>, and abbreviated variable names
#> #   ¹​clutch_size_fresh, ²​clutch_size_mean, ³​clutch_size_sd, ⁴​clutch_size_min,
#> #   ⁵​clutch_size_max, ⁶​hatching_success_mean, ⁷​hatching_success_sd,
#> #   ⁸​hatching_success_min, ⁹​hatching_success_max