Spatial Cluster Modelling
Published on 16. May 2002
304 pages
978-1-4200-3541-4 (ISBN)
Description
Research has generated a number of advances in methods for spatial cluster modelling in recent years, particularly in the area of Bayesian cluster modelling. Along with these advances has come an explosion of interest in the potential applications of this work, especially in epidemiology and genome research.
In one integrated volume, this b
In one integrated volume, this b
Reviews / Votes
"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
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Applied statisticians in epidemiology, geoscience, ecology, environmental science, genetics, imaging, and astronomy; epidemiologists and geneticists; theoretical statisticians interested in classification and clustering
Illustrations
60 s/w Abbildungen, 9 farbige Abbildungen, 10 s/w Tabellen, 4 s/w Photographien bzw. Rasterbilder
60 b/w images, 9 color images, 10 tables, 4 halftones and 500 equations
File size
5,90 MB
ISBN-13
978-1-4200-3541-4 (9781420035414)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Andrew B. Lawson | David G.T. Denison
Spatial Cluster Modelling
Book
01/2020
1st Edition
Chapman & Hall/CRC
€79.22
Shipment within 15-20 days
Andrew B. Lawson | David G.T. Denison
Spatial Cluster Modelling
Book
05/2002
1st Edition
Chapman & Hall/CRC
€237.70
Article not available at the moment
Persons
Andrew B. Lawson, David G.T. Denison
Content
Spatial Cluster Modelling: An Overview. POINT PROCESS CLUSTER MODELLING: Significance in Scale-Space for Clustering. Statistical Inference for Cox Processes. Extrapolating and Interpolating Spatial Patterns. Perfect Sampling for Point Process Cluster Modelling. Bayesian Estimation and Segmentation of Spatial Point Processes Using Voronoi Tilings. SPATIAL PROCESS CLUSTER MODELLING: Partition Modelling. Cluster Modelling for Disease Rate Mapping. Analyzing Spatial Data Using Skew-Gaussian Processes. Accounting for Absorption Lines In Images Obtained With The Chandra X-Ray Observatory. Spatial Modelling of Count Data: A Case Study in Modelling Breeding Bird Survey Data on Large Spatial Domains. SPATIO-TEMPORAL CLUSTER MODELLING: Modelling Strategies for Spatial-Temporal Data. Spatio-Temporal Partition Modelling: An Example FROM Neurophysiology. Spatio-Temporal Cluster Modelling of Small Area Health Data. References. Index. Author Index.
