Description

Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application-areas in the biophysical and socio-economic environments.
  • Only book that takes SOM algorithm to the GIS and Geography research communities
  • The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa
  • Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study

Self-Organising Maps: Applications in Geographic Information Science

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£138.95

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Hardback by Pragya Agarwal , Andre Skupin

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Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 29/02/2008
    ISBN13: 9780470021675, 978-0470021675
    ISBN10: 0470021675

    Number of Pages: 214

    Non Fiction , Computing

    Description

    Self-Organising Maps: Applications in GI Science brings together the latest geographical research where extensive use has been made of the SOM algorithm, and provides readers with a snapshot of these tools that can then be adapted and used in new research projects. The book begins with an overview of the SOM technique and the most commonly used (and freely available) software; it is then sectioned to look at the different uses of the technique, namely clustering, data mining and cartography, from a range of application-areas in the biophysical and socio-economic environments.
    • Only book that takes SOM algorithm to the GIS and Geography research communities
    • The Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South Africa
    • Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study

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