LeSage (Texas State U.-San Marcos) and Pace (Louisiana State U. -Baton Rouge) offer a textbook for a course for graduate or advanced undergraduate students with a background in regression methods who want to learn about spatial regression models. Choosing breadth over depth, they survey a wide range of topics, among them maximum likelihood and Bayesian estimation, different types of spatial regression specifications such as the spatial auto-regressive and matrix exponential, applied modeling situations involving different circumstances including origin-destination flows, limited dependent variables, and space-time data samples. They supply references where students who want them can find detailed derivations that they skip over here. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)