A collaborative effort between a leading academician who has laid foundation to the spatial data mining and a research scientist from a prestigious national laboratory who has over a decade of interdisciplinary research experience, this book covers not only concepts and algorithms, but also includes appropriate examples and exercises suitable for classroom teaching. Although an edited book with chapters written by eminent scholars or experts, the editors have carefully kept the flavor of a textbook. It covers the breadth and depth of the field, including theory and practice, with ample examples and exercises.