required for the advanced processing and interpretation of digital spatio-temporal data in physical oceanography as well as in other branches of the geophysical sciences. This book assumes a fundamental understanding of calculus and is directed primarily towards scientists and engineers in industry, government and universities, including graduate and advanced undergraduate students. Spanning five chapters and numerous appendices, the book provides a valuable compendium of the fundamental data processing tools required by the marine scientist. The book begins with a detailed discussion of the instruments used to collect oceanographic data and the limitations of the resulting data. Data presentation and display methods are reviewed in chapter two. The remaining three chapters supply detailed information on a broad range of statistical and deterministic data analysis methods ranging from established methods such as Analysis of Variance methods and Principal Component Analysis, to more recent data analysis techniques such as Wavelet Transforms and Fractals. Each technique is illustrated by a worked example and a large number of references are given for the reader who may want to dig deeper into the subject. No other book of this type exists that brings together in one volume information on the measurement systems, data editing, data reduction/processing and analysis and interpretation. At present this information is scattered among numerous texts, reference books, primary publications, technical reports and other "gray" literature such as data reports. This book brings all of this information into a single volume which can act as a text for the neophyte or a reference volume for the experienced scientist. The book is both a guide and an encyclopedia to modern data processing methods in the geophysical sciences. The http://www.elsevier.nl/locate/isbn/0444507566 Second and Revised Edition of Data Analysis Methods in Physical Oceanography will be published in March 2001.

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