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Simulated camera-trap detections for the REST / RAD-REST workflow

Source: R/data.R
rest_detection.Rd

A small simulated dataset illustrating the inputs needed by ct_fit_rest() and the ct_rest_* preparation helpers. It contains detections of a focal species ("Red duiker") recorded at 8 stations over roughly one month, together with two background species.

Usage

rest_detection

Format

A tibble with one row per video (detection) and columns:

  • Station: Camera station ID.

  • Species: Detected species name.

  • DateTime: Capture time as a "YYYY-MM-DD HH:MM:SS" string.

  • y: Number of passes through the focal area in that video (NA for background species).

  • Stay: Staying time within the focal area in seconds (NA when the animal did not enter).

  • Cens: Right-censoring flag for Stay (1 = censored, 0 = observed).

See also

rest_station, ct_fit_rest()

Examples

data(rest_detection)
head(rest_detection)
#> # A tibble: 6 × 6
#>   Station Species    DateTime                y  Stay  Cens
#>   <chr>   <chr>      <chr>               <int> <dbl> <int>
#> 1 ST01    Red duiker 2022-03-01 22:35:51     1   5.4     0
#> 2 ST01    Red duiker 2022-03-02 14:03:35     1   2.6     0
#> 3 ST01    Red duiker 2022-03-03 11:44:17     1   3.9     0
#> 4 ST01    Red duiker 2022-03-04 00:55:27     1   6       0
#> 5 ST01    Red duiker 2022-03-04 19:37:00     3   2.5     0
#> 6 ST01    Red duiker 2022-03-05 02:33:33     1   7.3     0