Evaluate independent camera detections — wt_ind

Create an independent detections dataframe using camera data from WildTrax

Usage

wt_ind_detect(
  x,
  threshold,
  units = "minutes",
  datetime_col = image_date_time,
  remove_human = TRUE,
  remove_domestic = TRUE
)

Arguments

x: A dataframe of camera data; preferably, the main report from wt_download_report().
threshold: Numeric; time interval to parse out independent detections.
units: The threshold unit. Can be one of three values, "seconds", "minutes", "hours".
datetime_col: Defaults to image_date_time; The column indicating the timestamp of the image.
remove_human: Logical; Should human and human-related tags (e.g. vehicles) be removed? Defaults to TRUE.
remove_domestic: Logical; Should domestic animal tags (e.g. cows) be removed? Defaults to TRUE.

Value

A dataframe of independent detections in your camera data, based on the threshold you specified. The df wil include information about the duration of each detection, the number of images, the average number of individual animals per image, and the max number of animals in the detection.

Examples

if (FALSE) {
detections <- wt_ind_detect(x = df, threshold = 30, units = "minutes")
}