Self-Organising Maps: Applications in Geographic Information Science

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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 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 communitiesThe Editors draw together expert contributors from the UK, Europe, USA, New Zealand, and South AfricaCovers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study

Author(s): Pragya Agarwal, Andre Skupin
Edition: 1
Year: 2008

Language: English
Pages: 214