wt_ind_detect: Evaluate independent detections in your camera data

In mabecker89/wildRtrax: Environmental sensor data management and analytics to and from WildTrax

Evaluate independent detections in your camera data

Description

Create 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

## Not run: 
detections <- wt_ind_detect(x = df, threshold = 30, units = "minutes")

## End(Not run)

mabecker89/wildRtrax documentation built on Feb. 5, 2024, 8:50 a.m.