Machine Learning for Spatial Environmental Data: Theory, Applications and Software (Environmental Sciences: Environmental Engineering)

Kanevski, Mikhail; Pozdnoukhov, Alexei; Timonin, Vadim

ISBN 10: 0849382378 / ISBN 13: 9780849382376

Published by EPFL Press, 2021

About this Item

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Bibliographic Details

• Title: Machine Learning for Spatial Environmental Data: Theory, Applications and Software (Environmental Sciences: Environmental Engineering)
• Publisher: EPFL Press
• Publication Date: 2021
• Language: English
• ISBN 10: 0849382378
• ISBN 13: 9780849382376
• Binding: Hardcover
• Condition: good

About this title

Synopsis

The book presents the state of the art in machine learning algorithms (artificial neural networks of different architectures, support vector machines, etc.) as applied to the classification and mapping of spatially distributed environmental data. Basic geostatistical algorithms are presented as well. New trends in machine learning and their application to spatial data are given, and real case studies based on environmental and pollution data are carried out. 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.