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Mergemaps: Treemaps for Scientific Data

Kamakshidasan, A and Natarajan, V (2021) Mergemaps: Treemaps for Scientific Data. In: 8th Workshop on Topological Methods in Data Analysis and Visualization, TopoInVis 2019, 17 - 19 June 2019, Nyköping, pp. 19-38.

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Official URL: https://doi.org/10.1007/978-3-030-83500-2_2

Abstract

Topology driven methods for analysis of scalar fields often begin with an exploration of an abstract topological structure such as the merge tree. Such abstractions are hard to interpret and time-consuming, particularly for feature-rich data. Current visualization schemes often place less emphasis on enriching user experience, human perception, or interaction. In this work, we aim to bridge that gap by utilizing treemaps towards effective topological analysis. We present mergemaps, a treemap based interactive design, to better understand merge trees. To aid the perceptual understanding of large merge trees, we provide fusing and diffusing operations to reduce its hierarchical size while preserving topological features. We show multiple examples where our design leads to easy interpretations.

Item Type: Conference Paper
Publication: Mathematics and Visualization
Publisher: Springer Science and Business Media Deutschland GmbH
Additional Information: The copyright for this article belongs to the Authors.
Keywords: User interfaces, 'current; Human perception; Humaninteraction; Interactive design; Scalar fields; Scientific data; Topological analysis; Topological structure; Treemap; Users' experiences, Topology
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 01 Jun 2023 09:50
Last Modified: 01 Jun 2023 09:50
URI: https://eprints.iisc.ac.in/id/eprint/81732

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