Reviews the diverse approaches to the analysis and statistical modeling of clusters and clustering in space. The 14 papers explore point and object process modeling, spatial process modeling, and the burgeoning area of spatio-temporal modeling. Topics include statistical inference for Cox processes, Bayesian estimation and segmentation of spatial point processes using Voronoi tilings, accounting for absorption lines in images obtained with the Chandra X-ray Observatory, partition modeling, and the application of spatio-temporal cluster modeling to the analysis of health data. Annotation c. Book News, Inc., Portland, OR (booknews.com)