Topology-based Methods in Visualization

Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visual...

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Detalhes bibliográficos
Autor principal: Hauser, Helwig
Autor Corporativo: TopoInVis (Auteur)
Outros Autores: Hagen, Hans (Directeur de la publication), Theisel, Holger (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edição:1st ed. 2007.
Colecção:Mathematics and Visualization
Assuntos:
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: L'impression du document génère 220 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Topology-based Methods in Visualization, Texte imprimé, 9783642089770
• Topology-based Methods in Visualization, Texte imprimé, 9783540835325
• Topology-based methods in visualization, Helwig Hauser, Hans Hagen, Holger Theisel [ed.], 1ère édition, New-York, Springer, 2007, 1 vol. (X-222 p.), 978-3-540-70822-3
Descrição
Resumo:Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop Topology-Based Methods in Visualization that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research
Descrição do item:L'impression du document génère 220 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografia:Notes bibliogr.
ISBN:9783540708230
ISSN:2197-666X
Acesso:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017