This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data.  It presents basic geostatistical algorithms as well. The authors describe new trends in machine lea

chapter 1|52 pages

Learning From Geospatial Data

chapter 3|32 pages


chapter 4|119 pages

Artificial Neural Networks

chapter 5|100 pages

Support Vector Machines And Kernel Methods