Fuzzy Modeling with Spatial Information for Geographic Problems

. Ed(s): Petry, Frederick E.; Robinson, Vincent B.; Cobb, Maria A.

ISBN 10: 3642062644 ISBN 13: 9783642062643

Edit� par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010

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Editor(s): Petry, Frederick E.; Robinson, Vincent B.; Cobb, Maria A. Num Pages: 338 pages, 42 black & white tables, biography. BIC Classification: PBCH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 539. . 2010. Softcover reprint of hardcover 1st ed. 2005. Paperback. . . . . Books ship from the US and Ireland. N� de r�f. du vendeur V9783642062643

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The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies.

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Titre : Fuzzy Modeling with Spatial Information for ...
�diteur : Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Date d'�dition : 2010
Reliure : Couverture souple
Etat : New

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Fuzzy Modeling with Spatial Information for Geographic Problems

Petry, Frederick E.|Robinson, Vincent B.|Cobb, Maria A.

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642062644 ISBN 13 : 9783642062643

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book collecting a broad spectrum of research on geographic information uncertainty using Fuzzy ModelingThe capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communication. N� de r�f. du vendeur 5045376

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Fuzzy Modeling with Spatial Information for Geographic Problems

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Fuzzy Modeling with Spatial Information for Geographic Problems

Frederick E. Petry

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch. N� de r�f. du vendeur 9783642062643

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Fuzzy Modeling with Spatial Information for Geographic Problems

Frederick E. Petry

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642062644 ISBN 13 : 9783642062643

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies. N� de r�f. du vendeur 9783642062643

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Fuzzy Modeling with Spatial Information for Geographic Problems

Frederick E. Petry

Edit� par Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 3642062644 ISBN 13 : 9783642062643

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The capabilities of modern technology are rapidly increasing, spurred on to a large extent by the tremendous advances in communications and computing. Automated vehicles and global wireless connections are some examples of these advances. In order to take advantage of such enhanced capabilities, our need to model and manipulate our knowledge of the geophysical world, using compatible representations, is also rapidly increasing. In response to this one fundamental issue of great concern in modern geographical research is how to most effectively capture the physical world around us in systems like geographical information systems (GIS). Making this task even more challenging is the fact that uncertainty plays a pervasive role in the representation, analysis and use of geospatial information. The types of uncertainty that appear in geospatial information systems are not the just simple randomness of observation, as in weather data, but are manifested in many other forms including imprecision, incompleteness and granularization. Describing the uncertainty of the boundaries of deserts and mountains clearly require different tools than those provided by probability theory. The multiplicity of modalities of uncertainty appearing in GIS requires a variety of formalisms to model these uncertainties. In light of this it is natural that fuzzy set theory has become a topic of intensive interest in many areas of geographical research and applications This volume, Fuzzy Modeling with Spatial Information for Geographic Problems, provides many stimulating examples of advances in geographical research based on approaches using fuzzy sets and related technologies. 352 pp. Englisch. N� de r�f. du vendeur 9783642062643

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