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
Tabla de materias
List of Contributors.
1. Introduction: What is a Self-Organizing Map? (André
Skupin and Pragya Agarwal).
2. Applications of Different Self-Organizing Map Variants to
Geographical Information Science Problems (Fernando
Bação, Victor Lobo and Marco Painho).
3. An Integrated Exploratory Geovisualization Environment Based
on Self-Organizing Map (Etien L. Koua and Menno-Jan
Kraak).
4. Visual Exploration of Spatial Interaction Data with
Self-Organizing Maps (Jun Yan and Jean-Claude Thill).
5. Detecting Geographic Associations in English Dialect Features
in North America within a Visual Data Mining Environment
Integrating Self-Organizing Maps (Jean-Claude Thill, William A.
Kretzschmar Jr, Irene Casas and Xiaobai Yao).
6. Self-Organizing Maps for Density-Preserving Reduction of
Objects in Cartographic Generalization (Monika Sester).
7. Visualizing Human Movement in Attribute Space (André
Skupin).
8. Climate Analysis, Modelling, and Regional Downscaling Using
Self-Organizing Maps (Bruce C. Hewitson).
9. Prototyping Broad-Scale Climate and Ecosystem Classes by
Means of Self-Organising Maps (Jürgen P. Kropp and Hans
Joachim Schellnhuber).
10. Self-Organising Map Principles Applied Towards Automating
Road Extraction from Remotely Sensed Imagery (Pete Doucette,
Peggy Agouris and Anthony Stefanidis).
11. Epilogue: Intelligent Systems for GIScience: Where Next? A
GIScience Perspective (Michael Goodchild).
Index.
Sobre el autor
Pragya Agarwal and Andre Skupin are the authors of Self-Organising Maps: Applications in Geographic Information Science, published by Wiley.
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