The book presents the state of the art in machine learning algorithms as applied to the classification and mapping of spatially distributed environmental data. The book provides a CD-ROM with the Machine Learning Office software, including sample sets of data, that will allow both students and researchers to put the concepts rapidly to practice.

This book describes the fundamental methodological aspects of the analysis and modelling of spacially distributed data, and the applications with the specific userfriendly software Geostat Office.