
Aggregate the number of animal passes per station for REST / RAD-REST
Source:R/ct_rest_data.R
ct_rest_passes.RdAggregate the number of animal passes per station for REST / RAD-REST
Usage
ct_rest_passes(
detection_data,
station_data,
station_column = "Station",
species_column = "Species",
passes_column = "y",
model = c("REST", "RAD-REST")
)Arguments
- detection_data
A data frame with one row per video / detection.
- station_data
A data frame with one row per camera station.
- station_column, species_column
Columns giving the station ID and species in
detection_data.- passes_column
Column holding the number of passes per video.
- model
Either
"REST"(totals asY) or"RAD-REST"(per-video pass counts spread intoy_0,y_1, ... plus the video totalN).
Value
A tibble with one row per station x species, ready for ct_rest_effort().
Examples
data(rest_detection)
data(rest_station)
# Original REST: total passes (Y) per station
ct_rest_passes(rest_detection, rest_station, model = "REST")
#> # A tibble: 24 × 4
#> Station Species Y Habitat
#> <chr> <chr> <dbl> <chr>
#> 1 ST01 Bushbuck 9 forest
#> 2 ST02 Bushbuck 5 forest
#> 3 ST03 Bushbuck 11 forest
#> 4 ST04 Bushbuck 11 savanna
#> 5 ST05 Bushbuck 7 forest
#> 6 ST06 Bushbuck 9 forest
#> 7 ST07 Bushbuck 9 forest
#> 8 ST08 Bushbuck 7 savanna
#> 9 ST01 Civet 8 forest
#> 10 ST02 Civet 8 forest
#> # ℹ 14 more rows
# RAD-REST: videos split by number of passes (y_0, y_1, ...)
ct_rest_passes(rest_detection, rest_station, model = "RAD-REST")
#> # A tibble: 24 × 9
#> Station Species N y_0 y_1 y_2 y_3 y_4 Habitat
#> <chr> <chr> <int> <int> <int> <int> <int> <int> <chr>
#> 1 ST01 Bushbuck 9 0 0 0 0 0 forest
#> 2 ST02 Bushbuck 5 0 0 0 0 0 forest
#> 3 ST03 Bushbuck 11 0 0 0 0 0 forest
#> 4 ST04 Bushbuck 11 0 0 0 0 0 savanna
#> 5 ST05 Bushbuck 7 0 0 0 0 0 forest
#> 6 ST06 Bushbuck 9 0 0 0 0 0 forest
#> 7 ST07 Bushbuck 9 0 0 0 0 0 forest
#> 8 ST08 Bushbuck 7 0 0 0 0 0 savanna
#> 9 ST01 Civet 8 0 0 0 0 0 forest
#> 10 ST02 Civet 8 0 0 0 0 0 forest
#> # ℹ 14 more rows