ct_traprate_estimate: Estimate trap rate

In ct: Camera Trap Data Management and Multi-Method Ecological Analysis

Estimate trap rate

Description

Computes the estimated trap rate and uncertainty using bootstrapping, with optional support for stratified estimation based on area-weighted averaging.

Usage

ct_traprate_estimate(data, strata = NULL, n_bootstrap = 1000)

Arguments

data	A data frame as returned by ct_traprate_data() with columns n and effort.
strata	Optional. A data frame defining strata, with columns stratumID and area.
n_bootstrap	Number of bootstrap replicates to estimate uncertainty. Default is 1000.

Value

A data frame with the following columns:

• estimate: Trap rate estimate (e.g., detections per day)

• se: Standard error of the estimate

• cv: Coefficient of variation

• lower_ci: Lower bound of the 95\

• upper_ci: Upper bound of the 95\

• n: Number of deployments or observation used

• unit: Effort unit

See Also

ct_get_effort(), ct_traprate_data()

Examples

data("ctdp")
deployments <- ctdp$data$deployments
observations <- ctdp$data$observations %>%
                  dplyr::filter(scientificName == "Vulpes vulpes")

trap_rate <- ct_traprate_data(observation_data = observations,
                              deployment_data = deployments,
                              use_deployment = FALSE,
                              deployment_column = deploymentID,
                              datetime_column = timestamp,
                              start = start, end = 'end'
)

ct_traprate_estimate(data = trap_rate, n_bootstrap = 1000)

ct documentation built on Oct. 22, 2026, 1:07 a.m.