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Machine Learning for Spatial Environmental Data

Theory, Applications and Software

Mikhail Kanevski Alexei Pozdnoukhov Vadim Timonin

$290.95

Paperback

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English
Presses Polytechniques et Universitaires Romandes
29 October 2024
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.
By:   , ,
Imprint:   Presses Polytechniques et Universitaires Romandes
Country of Publication:   Switzerland
Dimensions:   Height: 24mm,  Width: 16mm,  Spine: 3mm
Weight:   454g
ISBN:   9782940222247
ISBN 10:   294022224X
Pages:   392
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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