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
Self-Organising Maps......Page 3
Contents......Page 7
List of Contributors......Page 9
1 Introduction: What is a Self-Organizing Map?......Page 11
2 Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems......Page 31
3 An Integrated Exploratory Geovisualization Environment Based on Self-Organizing Map......Page 55
4 Visual Exploration of Spatial Interaction Data with Self-Organizing Maps......Page 77
5 Detecting Geographic Associations in English Dialect Features in North America within a Visual Data Mining Environment Integrating Self-Organizing Maps......Page 97
6 Self-Organizing Maps for Density-Preserving Reduction of Objects in Cartographic Generalization......Page 117
7 Visualizing Human Movement in Attribute Space......Page 131
8 Climate Analysis, Modelling, and Regional Downscaling Using Self-Organizing Maps......Page 147
9 Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps......Page 165
10 Self-Organising Map Principles Applied Towards Automating Road Extraction from Remotely Sensed Imagery......Page 187
11 Epilogue: Intelligent Systems for GIScience: Where Next? A GIScience Perspective......Page 205
Index......Page 209
Plates......Page 216
