Machine Learning Algorithms for GeoSpatial Data . Applications and Software Tools

  title={Machine Learning Algorithms for GeoSpatial Data . Applications and Software Tools},
  author={Mikhail Kanevski and Alexei Pozdnoukhov and Vadim Timonin},
Nowadays machine learning (ML), including Artificial Neural Networks (ANN) of different architectures and Support Vector Machines (SVM), provides extremely important tools for intelligent geoand environmental data analysis, processing and visualisation. Machine learning is an important complement to the traditional techniques like geostatistics. This paper presents a review of several contemporary applications of ML for geospatial data: regional classification of environmental data, mapping of… CONTINUE READING
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Special Issue : Computational intelligence in earth and environmental sciences

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  • Neural Networks
  • 2007

Kanevski , Monitoring Network Optimisation for Spatial Data Classification Using Support Vector Machines

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  • EPFL Press, Lausanne, M 2004.Kanevski, A. Pozdnoukhov, V. Timonin
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