Machine Learning for Spatial Environmental Data
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A01=Alexei Pozdnoukhov
A01=Mikhail Kanevski
A01=Vadim Timonin
Age Group_Uncategorized
Age Group_Uncategorized
Author_Alexei Pozdnoukhov
Author_Mikhail Kanevski
Author_Vadim Timonin
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Category1=Non-Fiction
Category=UF
Category=UYQM
COP=Switzerland
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eq_isMigrated=2
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Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Product details
- ISBN 9782940222247
- Dimensions: 16 x 24mm
- Publication Date: 15 May 2026
- Publisher: Presses Polytechniques et Universitaires Romandes
- Publication City/Country: CH
- Product Form: Paperback
- Language: English
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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.
