Fig. 7
From: Empirical evaluation of the spatial scale and detection process of camera trap surveys
Effects of heterogeneous detection probability on occupancy estimates. Each scenario was evaluated by simulating n = 500 datasets in which 100 camera traps were deployed 20 days and analyzing the data with the R-package ‘unmarked,’ treating each day as a replicate “visit.” We observed similar trends when analyzing the data as four 5-day intervals. Occupancy bias is defined as the average difference between the point estimate for occupancy probability (\( \hat{\psi} \)) and true occupancy probability (ψ). Occupancy error rate is defined as the proportion of simulations in which the estimated 95% confidence interval for \( \hat{\left(\psi \right)} \) did not overlap with the true value