Distance estimation error data and code "Bias in density estimates from avian point-count surveys: prospects for post-hoc corrections using calibration data"

We collected field data where we had observers estimate distances to singing birds and other field staff confirm the singing locations of the same birds to examine relationships between estimated versus measured distances. Our objectives were to 1) estimate the magnitude of bias in density estimates for distance sampling models in the presence of distance estimation error, and 2) use separate field data to examine whether post-hoc corrections of EDRs can reduce bias in estimated densities. We apply our post-hoc corrections to simulations and empirical point-count data collected in the boreal forest of Saskatchewan, Manitoba and Northwest Territories, Canada to demonstrate the magnitude of change in density estimates we expect in real-world data..