Call number:
M 15.0199
Description / Table of Contents:
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.
Type of Medium:
Monograph available for loan
Pages:
xii, 377 S. : Ill., Kt. + 1 CD-ROM (12 cm)
Edition:
1st ed.
ISBN:
9780849382376
Series Statement:
Environmental sciences, environmental engineering
Classification:
Cartography, Geographical Information Systems, GIS
Branch Library:
GFZ Library
Permalink
