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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000010172878 | G70.212 S44 2008 | Open Access Book | Book | Searching... |
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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
List of Contributors | p. vii |
1 Introduction: What is a Self-Organizing Map? | p. 1 |
2 Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems | p. 21 |
3 An Integrated Exploratory Geovisualization Environment Based on Self-Organizing Map | p. 45 |
4 Visual Exploration of Spatial Interaction Data with Self-Organizing Maps | p. 67 |
5 Detecting Geographic Associations in English Dialect Features in North America within a Visual Data Mining Environment Integrating Self-Organizing Maps | p. 87 |
6 Self-Organizing Maps for Density-Preserving Reduction of Objects in Cartographic Generalization | p. 107 |
7 Visualizing Human Movement in Attribute Space | p. 121 |
8 Climate Analysis, Modelling, and Regional Downscaling Using Self-Organizing Maps | p. 137 |
9 Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps | p. 155 |
10 Self-Organising Map Principles Applied Towards Automating Road Extraction from Remotely Sensed Imagery | p. 177 |
11 Epilogue: Intelligent Systems for GIScience: Where Next? A GIScience Perspective | p. 195 |
Index | p. 199 |