Topological Methods in Data Analysis and Visualization VI / Theory, Applications, and Software / Ingrid Hotz (u. a.) / Buch / Mathematics and Visualization / HC runder Rücken kaschiert / xi / Englisch - gebunden oder broschiert

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ISBN/EAN: 9783030834999

ISBN - alternative Schreibweisen:
978-3-030-83499-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hotz, filip

Daten vom Verlag:

Autor/in: Ingrid Hotz; Talha Bin Masood; Filip Sadlo; Julien Tierny
Titel: Mathematics and Visualization; Topological Methods in Data Analysis and Visualization VI - Theory, Applications, and Software
Verlag: Springer; Springer International Publishing
373 Seiten
Erscheinungsjahr: 2021-09-29
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
181,89 € (DE)
186,99 € (AT)
201,00 CHF (CH)
POD
XI, 373 p. 186 illus., 164 illus. in color.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Informationsvisualisierung; Verstehen; Scientific Visualization; Scalar Field Topology; Vector Field Topology; Topology of Point Sets and Cell Complexes; Combinatorial Methods; Persistent Homology; Robustness; Multi-scale Representation Models; Time-dependent Methods; Feature Extraction; Lagrangian Coherent Structures; Denoising and Simplification; Similarity and Correlation; Data and Information Visualization; Topology; Computer Graphics; Computational Geometry; Algorithms; Mathematical Software; Topologie; Grafikprogrammierung; Theoretische Informatik; Algorithmen und Datenstrukturen; Mathematische und statistische Software; EA; BC

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.  

Scalar Field Topology–Algorithms and Applications.- W-Structures in Contour Trees.- Treemap Based Exploration of Merge Trees.- Notes on Percolation Analysis of Sampled Scalar Fields.- Distributed Task-Parallel Topology-Controlled Volume Rendering.- Topology-Based Tracking of Multi-Center Cyclones.- Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes.- Topological Methods in Complex Fields–Flow Fields, Tensor Fields, and Multi-fields.- Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction.- Coreline Criteria for Inertial Particle Motion.- Implicit Visualization of 2D Vector Field Topology for Periodic Orbit Detection.- Visually Evaluating Topological Equivalence of Bounded Bivariate Fields.- Topological Feature Search in Time-Varying Multifield Data.- Tensor Fields for Data Extraction from Chart Images: Bar Charts, Histograms, and Scatter Plots.- Topology for Geometric Data.- A Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space.- Topologically Robust B-Spline Reconstruction of Fibers from 3D Images.- Introduction to Vector Field Topology.- An Overview of the Topology ToolKit.- Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit.- TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives.

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nyköping, Sweden. The workshop regularly gathers some of the world’s leading experts in this field. Thereby, it provides a forum for discussions on the latest advances in the field with a focus on finding practical solutions to open problems in topological data analysis for visualization. The contributions provide introductory and novel research articles including new concepts for the analysis of multivariate and time-dependent data, robust computational approaches for the extraction and approximations of topological structures with theoretical guarantees, and applications of topological scalar and vector field analysis for visualization. The applications span a wide range of scientific areas comprising climate science, material sciences, fluid dynamics, and astronomy. In addition, community efforts with respect to joint software development are reported and discussed.