Sampling Theory

Sampling theory for the ecological and natural resource science conveys the conceptual content and importance of design-based sampling theory, whilst assuming only a basic level of mathematics and statistics.

Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations, but some attention is given to model-based prediction and sampling from infinite populations.

Sampling Theory is an introductory textbook suitable for advanced undergraduates, graduate students, professional researchers, and practitioners in the fields of ecology, evolution, conservation biology, and natural resource sciences (including fisheries, wildlife, rangeland, ecology and forestry).

It includes chapters on new sample selection methods (including spatially balanced sampling) and sampling through time, and incorporates a range of pedagogical features to facilitate understanding of sampling theory principles. These include extensive use of graphical illustrations, worked sample space examples, and links to relevant R code.

The book is based on a proven course structure.

368 pages.

Paperback: ISBN 9780198815808, £39.99

Hardback ISBN 9780198815792, £80.00