Description: Spatial clustering is a topic of growing interest in many disciplines, from geoscience to epidemiology. In recent years, many new advances have appeared, particularly in the area of Bayesian cluster modeling. However, much of this work has been scattered in disparate areas of the literature. In one integrated volume, this book provides a review of the state-of-the-art in spatial clustering and spatial cluster modelling. Organized in three sections, it includes an overview of the field and its applications, discussions of the theoretical underpinnings of methodology, and explorations of spatio-temporal cluster modelling, all written by leading researchers in the field.
Review Quotes: "This text provides an effective treatment and review of several ways to view a clustering pattern, depending on the context. Examples include image segmentation, spatial epidemiology, and object recognition using partition models. ... Each of the 14 chapters has multiple authors, each aware of the book's content so there is effective cross-referencing. I strongly recommend this book for anybody who is serious about spatial clustering. ..." -Tom Burr Statistics in Medicine, Vol. 23, 2004 "[This book] is a collection of contributions by leading specialist in the field, which are brought together coherently with unified notation. ... Overall, the book is an excellent, well and up-to-date referenced presentation of the current state of research in spatial cluster analysis ... an insightful reference not only for the statistician, but also for scientists ... ." -Zentralblatt MATH, 1046 "The chapter authors are all recognized for their excellence in research. ... the text is well written and informative, and is a worthy addition to the library of anyone wishing to keep up to date on current research in spatial cluster modeling." -Journal of the American Statistical Association, Vol. 99, No. 467, September 2004