A Comparison of Joint Contour Nets and Pareto Sets View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Lars Huettenberger , Christian Heine , Christoph Garth

ABSTRACT

For the scientific visualization and analysis of univariate (scalar) fields several topological approaches like contour trees and Reeb graphs were studied and compared to each other some time ago. In recent years, some of those approaches were generalized to multivariate fields. Among others, data structures like the joint contour net (JCN) and the Pareto set were introduced and improved in subsequent work. However, both methods utilized individual data sets as test cases for their proof-of-concept sections and partially lacked a complete comparison to other multivariate approaches. Hence, to better understand the relationship between those two data structures and to gain insights into general multivariate topology, we present a deeper comparison of JCNs and Pareto sets in which we integrate data sets applied in the original JCN and Pareto set papers. More... »

PAGES

51-65

Book

TITLE

Topological Methods in Data Analysis and Visualization IV

ISBN

978-3-319-44682-0
978-3-319-44684-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-44684-4_3

DOI

http://dx.doi.org/10.1007/978-3-319-44684-4_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085750072


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