In Geography and GIS, surfaces can be analysed and visualised through various data structures, and topological data structures describe surfaces in the form of a relationship between certain surface-specific features. Drawn from many disciplines with a strong applied aspect, this is a research-led, interdisciplinary approach to the creation, analysis and visualisation of surfaces, focussing on topological data structures.
Topological Data Structures for Surfaces: an introduction for Geographical Information Science describes the concepts and applications of these data structures. The book focuses on how these data structures can be used to analyse and visualise surface datasets from a range of disciplines such as human geography, computer graphics, metrology, and physical geography. Divided into two Parts, Part I defines the topological surface data structures and explains the various automated methods used for their generation. Part II demonstrates a number of applications of surface networks in diverse fields, ranging from sub-atomic particle collision visualisation to the study of population density patterns. To ensure that the material is accessible, each Part is prefaced by an overview of the techniques and application.
This book is invaluable for researchers and postgraduate students working in departments of GI Science, Geography and Computer Science. It also constitutes key reference material for Masters students working on surface analysis projects as part of a GI Science or Computer Science programme.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Sanjay Rana is the author of Topological Data Structures for Surfaces: An Introduction to Geographical Information Science, published by Wiley.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Presents a research led, interdisciplinary approach to the creation, analysis and visualisation of topological data structures. This book discusses the relevant techniques and applications at a level and format that is suitable for the non computer scientist. Editor(s): Rana, Sanjay. Num Pages: 214 pages, Illustrations (some col.). BIC Classification: RGB. Category: (P) Professional & Vocational. Dimension: 252 x 175 x 18. Weight in Grams: 579. . 2004. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470851517
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