A classic text and reference work for students, academics and professionals approaching cartometry from a wide range of backgrounds - geography, cartography, forestry and stereology. The author hasd transcended these subject boundaries to produce a definitive and coherent guide to the theory and technique of measuring distance and areas on maps. To increase this book's accessibility, a minimum of mathematical knowledge is assumed.

Timber measurement techniques applicable to any tree inventory project regardless of management objectives are covered by this text. Thorough coverage of sampling designs, land measurements, tree measurements, forest inventory field methods, and growth projections ensures utility for all foresters. Included are chapters on aerial photographs, GIS, and using similar techniques to measure other natural resources such as rangelands, wildlife, and water.

A textbook for introductory courses in forest measurement. Emphasizes measuring timber, but also describes measuring wood products and standing trees, predicting the growth of both individual trees and stands, and assessing range, wildlife, water, and recreational resources. Assumes only algebra and plane trigonometry, though statistics and calculus would be helpful. Revised from the 1983 edition based on suggestions from instructors. Annotation copyright by Book News, Inc., Portland, OR

This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.

Suitable for graduate-level courses on measurement or research methods, this book offers a gentle introduction to and overview of complex measurement content. It provides information for health professionals who develop new instruments, adapt existing ones, select instruments for use in clinical trials or in clinical practice.