A note on the Fourier series model for analysing line transect data.
The Fourier series model offers a powerful procedure for the estimation of animal population density from line transect data. The estimate is reliable over a wide range of detection functions. In contrast, analytic confidence intervals yield, at best, 90% confidence for nominal 95% intervals. Three solutions, one using Monte Carlo techniques, another making direct use of replicate lines and the third based on the jackknife method, are discussed and compared.
D000818:Animals; D005583:Fourier Analysis; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D011156:Population Density