Topological Methods in Data Analysis and Visualization VI

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.

Covers the full range of cutting-edge research in the sector Features work by the most prominent and respected researchers Contains papers on the latest developments including fast homology computation

Inhalt

Scalar Field TopologyAlgorithms 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 FieldsFlow Fields, Tensor Fields, and Multi-elds.- 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 Multield 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.