Name: Machine Learning for Spatial Environmental Data. Theory, Applications and Software
SKU: 64798128
Price: 7062.00 TWD
Availability: InStock
Author: Alexei Pozdnoukhov;Vadim Timonin;Mikhail Kanevski

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Machine Learning for Spatial Environmental Data. Theory, Applications and Software

Type

Physical Book

Publisher

Presses Polytechniques et Universitaires Romandes

Author

Alexei Pozdnoukhov;Vadim Timonin;Mikhail Kanevski

Year

2025

Pages

392

Format

Paperback

Dimensions

2.4x1.6x0.3 cm

ISBN13

9782940222247

Machine Learning for Spatial Environmental Data. Theory, Applications and Software

Alexei Pozdnoukhov;Vadim Timonin;Mikhail Kanevski (Author) · Presses Polytechniques et Universitaires Romandes · Paperback

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Delivery: 08 Oct - 21 Oct

NT$ 7,062

NT$ 7,062

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Synopsis "Machine Learning for Spatial Environmental Data. Theory, Applications and Software"

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.