 | Prof. Mikhail Kanevski is currently Professor at the institute of Geomatics and Analysis of Risk (IGAR) at the University of Lausanne. Current reserch interest include the development and applications of machine learning algorithms for spatio-temporal data analysis, modelling and visualization; geostatistics and geosimulations; natural hazards and environmental risks assesments; environmental, socio-economic and and financial time series analysis and prediction.
| |  | | 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. |
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