Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software
2021 (English)Collection (editor) (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Springer Nature, 2021, 1. , p. XI, 373
Series
Mathematics and Visualization, ISSN 1612-3786, E-ISSN 2197-666X
Keywords [en]
Scientific Visualization, Scalar Field Topology, Vector Field Topology, Topology of Point Sets and Cell Complexes, Combinatorial Methods, Persistent Homology, Robustness, Multi-scale Representation ModelsTime-dependent Methods, Feature Extraction, Lagrangian Coherent Structures, Denoising and Simplification, Similarity and Correlation
National Category
Computer Sciences Human Computer Interaction Discrete Mathematics Geometry
Identifiers
URN: urn:nbn:se:liu:diva-182270DOI: 10.1007/978-3-030-83500-2Libris ID: r5lpkddxp9wrrg71ISBN: 9783030834999 (print)ISBN: 9783030835002 (electronic)ISBN: 9783030835026 (print)OAI: oai:DiVA.org:liu-182270DiVA, id: diva2:1626721
2022-01-112022-01-112023-04-21Bibliographically approved