Distance Sampling: Methods and Applications

• Introduction.- The basic methods.- Designing surveys.- Designing distance sampling experiments.- Field methods and data checking.- Modelling detection functions.- Design-based estimation of animal density and abundance.- Model-based distance sampling: two-stage models.- Model-based distance sampling: full likelihood methods.- Variations on a theme.- Taxon-specific issues.- Exchanging assumptions for data.- Summary.

"This new volume by Dr. Buckland and his colleagues at the University of St. Andrews serves as both an introduction to distance sampling for people new to the field as well as a summary of recent developments. ... I recommend the book as an excellent entry into this fascinating area of estimation and research. The R code alone is worth the purchase price." (Mark Miller, BTO British Trust for Ornithology, bto.org, January, 2016)