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Self-Organising Maps: Applications in GI Science bringstogether the latest geographical research where extensive use hasbeen made of the SOM algorithm, and provides readers with asnapshot of these tools that can then be adapted and used in newresearch projects. The book begins with an overview of the SOMtechnique and the most commonly used (and freely available)software; it is then sectioned to look at the different uses of thetechnique, namely clustering, data mining and cartography, from arange of application-areas in the biophysical and socio-economicenvironments. * Only book that takes SOM…mehr

Produktbeschreibung
Self-Organising Maps: Applications in GI Science bringstogether the latest geographical research where extensive use hasbeen made of the SOM algorithm, and provides readers with asnapshot of these tools that can then be adapted and used in newresearch projects. The book begins with an overview of the SOMtechnique and the most commonly used (and freely available)software; it is then sectioned to look at the different uses of thetechnique, namely clustering, data mining and cartography, from arange of application-areas in the biophysical and socio-economicenvironments. * Only book that takes SOM algorithm to the GIS and Geographyresearch 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 miningcartography, all featuring an appropriate case study

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  • Produktdetails
  • Verlag: John Wiley & Sons
  • Seitenzahl: 214
  • Erscheinungstermin: 2. August 2008
  • Englisch
  • ISBN-13: 9780470021682
  • Artikelnr.: 37289872
Inhaltsangabe
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.