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Self-organising maps applications in geographic information science /

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 o...

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Bibliographic Details
Group Author: Agarwal, Pragya; Skupin, André
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Geographic information systems > Mathematical models
Self-organizing maps
TECHNOLOGY & ENGINEERING > Remote Sensing & Geographic Information Systems
Geographic information systems
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470021699
Summary: 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 th
Item Description: Title from PDF t.p. (viewed Feb. 16, 2008).
Also available in print version.
Originally published in 2006.
Carrier Form: 1 online resource (viii, 205 pages, [15] pages of plates) : illustrations (some color), maps
Bibliography: Includes bibliographical references and index.
ISBN: 0470021683
9780470021682
9780470021699
0470021691
1281318043
9781281318046
Index Number: G70
CLC: P208
Contents: Applications of different self-organizing map variants to geographical information science problems /
An integrated exploratory geovisualization environment based on self-organizing map /
Visual exploration of spatial interaction data with self-organizing maps /
Detecting geographic associations in English dialect features in North America within a visual data mining environment integrating self-organizing maps /
Self-organizing maps for d

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