Cover image for Self-organising maps : applications in geographic information science
Title:
Self-organising maps : applications in geographic information science
Publication Information:
Chichester, West Sussex : John Wiley & Sons, 2008
Physical Description:
viii, 205 p. : ill. maps ; 25 cm.
ISBN:
9780470021675

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30000010172878 G70.212 S44 2008 Open Access Book Book
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Summary

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 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


Author Notes

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


Table of Contents

Andre Skupin and Pragya AgarwalFernando Bacao and Victor Lobo and Marco PainhoEtien L. Koua and Menno-Jan KraakJun Yan and Jean-Claude ThillJean-Claude Thill and William A. Kretzschmar Jr and Irene Casas and Xiaobai YaoMonika SesterAndre SkupinBruce C. HewitsonJurgen P. Kropp and Hans Joachim SchellnhuberPete Doucette and Peggy Agouris and Anthony StefanidisMichael Goodchild
List of Contributorsp. vii
1 Introduction: What is a Self-Organizing Map?p. 1
2 Applications of Different Self-Organizing Map Variants to Geographical Information Science Problemsp. 21
3 An Integrated Exploratory Geovisualization Environment Based on Self-Organizing Mapp. 45
4 Visual Exploration of Spatial Interaction Data with Self-Organizing Mapsp. 67
5 Detecting Geographic Associations in English Dialect Features in North America within a Visual Data Mining Environment Integrating Self-Organizing Mapsp. 87
6 Self-Organizing Maps for Density-Preserving Reduction of Objects in Cartographic Generalizationp. 107
7 Visualizing Human Movement in Attribute Spacep. 121
8 Climate Analysis, Modelling, and Regional Downscaling Using Self-Organizing Mapsp. 137
9 Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Mapsp. 155
10 Self-Organising Map Principles Applied Towards Automating Road Extraction from Remotely Sensed Imageryp. 177
11 Epilogue: Intelligent Systems for GIScience: Where Next? A GIScience Perspectivep. 195
Indexp. 199