Rana Topological Data Structures for Surfaces

An Introduction to Geographical Information Science
1. Auflage 2005
ISBN: 978-0-470-02027-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 214 Seiten, E-Book

In Geography and GIS, surfaces can be analysed and visualisedthrough various data structures, and topological data structuresdescribe surfaces in the form of a relationship between certainsurface-specific features. Drawn from many disciplines with astrong applied aspect, this is a research-led, interdisciplinaryapproach to the creation, analysis and visualisation of surfaces,focussing on topological data structures.
Topological Data Structures for Surfaces: an introduction forGeographical Information Science describes the concepts andapplications of these data structures. The book focuses on howthese data structures can be used to analyse and visualise surfacedatasets from a range of disciplines such as human geography,computer graphics, metrology, and physical geography. Divided intotwo Parts, Part I defines the topological surface data structuresand explains the various automated methods used for theirgeneration. Part II demonstrates a number of applications ofsurface networks in diverse fields, ranging from sub-atomicparticle collision visualisation to the study of population densitypatterns. To ensure that the material is accessible, each Part isprefaced by an overview of the techniques and application.
* Provides GI scientists and geographers with an accessibleoverview of current surface topology research.
* Algorithms are presented and explained with practical examplesof their usage.
* Features an accompanying website developed by the Editor -http://geog.le.ac.uk/sanjayrana/surface-networks/
This book is invaluable for researchers and postgraduatestudents working in departments of GI Science, Geography andComputer Science. It also constitutes key reference material forMasters students working on surface analysis projects as part of aGI Science or Computer Science programme.

Autoren/Hrsg.

Rana, Sanjay

Inhaltsverzeichnis

List of Contributors.
Foreword.
Preface.
INTRODUCTION.
1. Introduction (Sanjay Rana).
PART I CONCEPTS AND IMPLEMENTATIONS.
2. Topographic Surfaces and Surface Networks (Gert W. Wolf).
3. Algorithms for Extracting Surface Topology from DigitalElevation Models (Shigeo Takahashi).
4. Construction of Metric Surface Networks from Raster-BasedDEMs (Bernhard Schneider and Jo Wood).
5. Contour Trees and Small Seed Sets for Isosurface Generation(Marc van Kreveld, Ren´e van Oostrum, Chandrajit Bajaj,Valerio Pascucci and Dan Schikore).
6. Surface Shape Understanding Based on Extended Reeb Graphs(Silvia Biasotti, Bianca Falcidieno and Michela Spagnuolo).
PART II: APPLICATIONS.
7. A Method for Measuring Structural Similarity among ActivitySurfaces and its Application to the Analysis of Urban PopulationSurfaces in Japan (Atsuyuki Okabe and Atsushi Masuyama).
8. Topology Diagram of Scalar Fields in Scientific Visualisation(Valerio Pascucci).
9. Topology-Guided Downsampling and Volume Visualisation (MartinKraus and Thomas Ertl).
10. Application of Surface Networks for Augmenting theVisualisation of Dynamic Geographic Surfaces (Sanjay Rana and JasonDykes).
11 An Application of Surface Networks in Surface Texture (PaulJ. Scott).
12. Application of Surface Networks for Fast Approximation ofVisibility Dominance in Mountainous Terrains (Sanjay Rana andJeremy Morley).
CONCLUSION.
13. Issues and Future Directions (Sanjay Rana).
References.
Index.

Über Autor(innen)

Who we are targeting: New and inexperienced Word users whoneed to learn how to use Word quickly and efficiently so that theycan spend more time working on their projects and less time tryingto figure out how to make Word work for them.