Applications in Geographic Information Science Explored.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c91489) has announced the addition of "Self-Organising Maps: Applications in Geographic Information Science" to their offering. 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 cartography: see map. cartography or mapmaking Art and science of representing a geographic area graphically, usually by means of a map or chart. Political, cultural, or other nongeographic features may be superimposed. , 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 New Zealand (zē`lənd), island country (2005 est. pop. 4,035,000), 104,454 sq mi (270,534 sq km), in the S Pacific Ocean, over 1,000 mi (1,600 km) SE of Australia. The capital is Wellington; the largest city and leading port is Auckland. , and South Africa South Africa, Afrikaans Suid-Afrika, officially Republic of South Africa, republic (2005 est. pop. 44,344,000), 471,442 sq mi (1,221,037 sq km), S Africa. - Covers a range of techniques in clustering, data mining cartography, all featuring an appropriate case study Key Topics: - Introduction: What is a Self-Organizing Map This article appears to contradict another article. Please see discussion on the linked talk page. A self-organizing map (SOM) is a type of artificial neural network that is trained using unsupervised learning to produce low-dimensional representation of the training ? ( - Applications of Different Self-Organizing Map Variants to Geographical Information Science Problems - An Integrated Exploratory Geovisualization Environment Based on Self-Organizing Map - Visual Exploration of Spatial Interaction Data with Self-Organizing Maps - Detecting Geographic Associations in English Dialect Features in North America North America, third largest continent (1990 est. pop. 365,000,000), c.9,400,000 sq mi (24,346,000 sq km), the northern of the two continents of the Western Hemisphere. within a Visual Data Mining Environment Integrating Self-Organizing Maps - Self-Organizing Maps for Density-Preserving Reduction of Objects in Cartographic car·tog·ra·phy n. The art or technique of making maps or charts. [French cartographie : carte, map (from Old French, from Latin charta, carta, paper made from papyrus Generalization - Visualizing Human Movement in Attribute Space - Climate Analysis, Modelling, and Regional Downscaling Global climate models (GCMs) are run at coarse spatial resolution (typically of the order 50,000 km²) and are unable to resolve important sub-grid scale features such as clouds and topography. As a result GCMs can’t be used for local impact studies. Using Self-Organizing Maps - Prototyping Broad-Scale Climate and Ecosystem Classes by Means of Self-Organising Maps - Self-Organising Map Principles Applied Towards Automating Road Extraction from Remotely Sensed Imagery - Epilogue: Intelligent Systems for GIScience: Where Next? A GIScience Perspective For more information visit http://www.researchandmarkets.com/reports/c91489 |
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