Self-Organising Maps: Applications in Geographic Information Science

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Pragya Agarwal (University College, London) Andre Skupin (University of New Orleans, USA)

Self-Organising Maps

Applications in Geographic Information Science

Pragya Agarwal (University College, London), Andre Skupin (University of New Orleans, USA)

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English

John Wiley & Sons Inc
29 February 2008

Geographical information systems (GIS) & remote sensing; Neural networks & fuzzy systems

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

Edited by: Pragya Agarwal (University College London), Andre Skupin (University of New Orleans, USA)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 250mm, Width: 173mm, Spine: 18mm
Weight: 567g
ISBN: 9780470021675
ISBN 10: 0470021675
Pages: 214
Publication Date: 29 February 2008
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Pragya Agarwal and Andre Skupin are the authors of Self-Organising Maps: Applications in Geographic Information Science, published by Wiley.