R/summarise_mwi.R
filter_alive.Rd
filter_alive(data)
A dataframe with column indicating "health",
e.g. wastd_data$animals
with column health
or
odkc_data$mwi
with column health_status
.
The dataframe with rows matching live outcomes.
Other wastd:
add_nest_labels()
,
disturbance_by_season()
,
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()
,
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()
data("wastd_data")
wastd_data$animals %>%
filter_alive() %>%
head()
#> # A tibble: 6 × 77
#> id type source sourc…¹ encou…² status when latit…³ longi…⁴ crs locat…⁵
#> <int> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <chr> <chr>
#> 1 417209 Feat… odk uuid:9… inwater new 2022… -23.2 114. WGS … 10
#> 2 410660 Feat… paper 2022-0… tagging curat… 2022… -21.9 114. WGS … 10
#> 3 411441 Feat… wamtr… 315700 tagging new 2022… -25.8 114. WGS … 10
#> 4 409666 Feat… wamtr… 315697 tagging new 2022… -21.9 114. WGS … 10
#> 5 410179 Feat… odk uuid:a… inwater new 2022… -21.9 114. WGS … 10
#> 6 410181 Feat… odk uuid:c… tagging new 2022… -21.8 114. WGS … 10
#> # … with 66 more variables: location_accuracy_m <int>, name <chr>,
#> # leaflet_title <chr>, observer_pk <chr>, observer_username <chr>,
#> # observer_name <chr>, reporter_pk <chr>, reporter_username <chr>,
#> # reporter_name <chr>, comments <chr>, area_pk <int>, area_area_type <chr>,
#> # area_name <chr>, site_pk <int>, site_area_type <chr>, site_name <chr>,
#> # survey_id <int>, survey_area_pk <int>, survey_area_area_type <chr>,
#> # survey_area_name <chr>, survey_site_pk <int>, …
data("odkc_data")
odkc_data$mwi %>%
sf_as_tbl() %>%
filter_alive() %>%
head()
#> # A tibble: 6 × 82
#> id meta_…¹ start…² start…³ start…⁴ start…⁵ start_geop…⁶ observation_start…⁷
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <list> <dttm>
#> 1 uuid… uuid:9… 151. -33.8 0 1.87e5 <named list> 2022-04-07 13:58:13
#> 2 uuid… uuid:a… 114. -21.9 -16.0 3.22e0 <named list> 2022-01-29 07:33:18
#> 3 uuid… uuid:c… 114. -21.8 -10.8 3.75e0 <named list> 2022-01-29 06:40:11
#> 4 uuid… uuid:c… NA NA NA NA <NULL> 2022-01-28 09:29:54
#> 5 uuid… uuid:9… NA NA NA NA <NULL> 2022-01-16 06:12:31
#> 6 uuid… uuid:5… 114. -21.9 -12.2 3.22e0 <named list> 2022-01-12 08:48:24
#> # … with 74 more variables: device_id <chr>, reporter <chr>,
#> # incident_reporter_repeat <chr>, incident_observed_at_longitude <dbl>,
#> # incident_observed_at_latitude <dbl>, incident_observed_at_altitude <dbl>,
#> # incident_observed_at_accuracy <dbl>, incident_observed_at <list>,
#> # incident_observed_at_manual_longitude <dbl>,
#> # incident_observed_at_manual_latitude <dbl>,
#> # incident_observed_at_manual_altitude <dbl>, …