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Stochastic geometry involves the statistical analysis of complicated geometrical patterns which occur in many areas of science and technology. This book aims to make the results and methods of stochastic geometry accessible to non-theoreticians, while at the same time serving as an introduction to the subject for mathematicians. The exposition is mathematically exact and takes into account the latest results, but in most cases proofs are omitted, and it is intended that applied scientists who may not wish to follow the mathematical arguments in detail will still be able to interpret and use the formulae. Topics covered include the basic theories of point processes, random sets, fibre processes, tessellations, stereology and the statistical theory of shape. The theory is illustrated by many examples drawn from different branches of science; actual data in the form of images are presented, and their analysis is discussed. The book is a greatly revised and enlarged version of the original German edition by Stoyan and Mecke, with a new chapter on random processes of geometrical objects. It is the first treatment available in English of the important East German school of stochastic geometry. As well as being of great interest to statisticians, this treatment of the subject should prove useful to applied scientists working in fields such as geology, biology, microscopy and metallurgy and to pure mathematicians working in geometry.
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Stochastic Geometry and its Applications
Dietrich Stoyan, TU Bergakademie Freiberg, Germany
Wilfrid S. Kendall, University of Warwick, UK
Joseph Mecke, Friedrich-Schiller-Universitaet Jena, Germany
Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, biology and environmental sciences. They offer successful models for the description of random two- and three-dimensional micro and macro structures and statistical methods for their analysis. The book deals with the following topics:
-fibre and surface processes
This book has served as the key reference in its field for over 20 years and is regarded as the best treatment of the subject of stochastic geometry, both as an subject with vital applications to spatial statistics and as a very interesting field of mathematics in its own right.
This classic monograph:
Stochastic Geometry and its Applications is ideally suited for researchers in physics, materials science, biology and ecological sciences. It is also a valuable introduction for students of mathematics and statistics.
Text: English, German (translation)
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