Description

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

Advanced Mapping of Environmental Data

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£157.95

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Hardback by Mikhail Kanevski

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Short Description:

This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies,... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 01/08/2008
    ISBN13: 9781848210608, 978-1848210608
    ISBN10: 1848210604

    Number of Pages: 352

    Non Fiction , Earth Sciences, Geography & Environment , Education

    Description

    This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.

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