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Machine learning for spatial environmental data [electronic resource] : theory, applications and software / Mikhail Kanevski, Alexei Pozdnoukhov and Vadim Timonin.

By: Kanevski, MikhailContributor(s): Pozdnoukhov, Alexei | Timonin, VadimMaterial type: TextTextSeries: Environmental sciencesPublication details: Boca Raton, Fla. : CRC Press, 2009. Edition: 1st edDescription: xii, 400 p. : ill. (some col.), col. mapsISBN: 9781439808085 (ebook : PDF)Subject(s): Machine learningGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.
Contents:
ch. 1. Learning from geospatial data -- ch. 2. Exploratory spatial data analysis : presentation of data and case studies -- ch. 3. Geostatistics -- ch. 4. Artificial neural networks -- ch. 5. Support vector machines and kernel methods.
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Includes bibliographical references (p. [347]-371).

ch. 1. Learning from geospatial data -- ch. 2. Exploratory spatial data analysis : presentation of data and case studies -- ch. 3. Geostatistics -- ch. 4. Artificial neural networks -- ch. 5. Support vector machines and kernel methods.

Also available in print edition.

Mode of access: World Wide Web.

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