Chapter: Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps

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Home > Self-Organising Maps - Applications in Geographic Information Science > Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps

Self-Organising Maps - Applications in Geographic Information Science |

Pragya Agarwal; Andre Skupin

John Wiley & Sons

Self-Organising Maps - Applications in Geographic Information Science

Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps

Chapter Info

Authors

Jürgen P. Kropp; Hans Joachim Schellnhuber

ARI Id

1668247134094_20929151

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Not Available Free

Pages

155-175

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-viii
Colour Plates		c1-c15
Introduction: What is a Self-Organizing Map?	André Skupin; Pragya Agarwal	1-20
Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems	Fernando Bação; Victor Lobo; Marco Painho	21-44
An Integrated Exploratory Geovisualization Environment Based on Self-Organizing Map	Etien L. Koua; Menno-Jan Kraak	45-66
Visual Exploration of Spatial Interaction Data with Self-Organizing Maps	Jun Yan; Jean-Claude Thill	67-85
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; Irene Casas; Xiaobai Yao	87-106
Self-Organizing Maps for Density-Preserving Reduction of Objects in Cartographic Generalization	Monika Sester	107-120
Visualizing Human Movement in Attribute Space	André Skupin	121-135
Climate Analysis, Modelling, and Regional Downscaling Using Self-Organizing Maps	Bruce C. Hewitson	137-153
Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps	Jürgen P. Kropp; Hans Joachim Schellnhuber	155-175
Self-Organising Map Principles Applied Towards Automating Road Extraction from Remotely Sensed Imagery	Pete Doucette; Peggy Agouris; Anthony Stefanidis	177-194
Epilogue: Intelligent Systems for GIScience: Where Next? A GIScience Perspective	Michael Goodchild	195-198
Index		199-205
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