A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series

Sips, Mike; Köthur, Patrick; Unger, Andrea; Hege, Hans-Christian; Dransch, Doris

doi:10.1109/tvcg.2012.191

Cited by 34 publications

(17 citation statements)

References 32 publications

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“…A specific feature of mentioned approach is its flexibility due to the wide range of statistical measures provided, e.g., mean, variance, entropy. This allows for capturing a large set of temporal patterns to address different analysis tasks and different types of data [27].…”

Section: Methodsmentioning

confidence: 99%

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

Komenda

Schwarz

2013

IFIP Advances in Information and Communication Technology

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Abstract. Visual analytics approaches bring an innovative and effective way how to deliver the knowledge from a particular domain to an individual user. With the use of visual analytics methods we can easily discover the unexpected relations and interesting patterns, which are hidden in the huge data warehouses. It builds on the human mind's ability to understand the complex visualization of information. In this paper we introduce the potential usefulness of visual analytics for researchers working in the field of environmental informatics. Current challenges beyond the survey are described here, including the summary of particular well-proven tools and scenarios, which can be applied in many various fields of environmental research.

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Section: Methodsmentioning

confidence: 99%

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

Komenda

Schwarz

2013

IFIP Advances in Information and Communication Technology

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“…An example from statistics [11], uses a scale-space image coloured based on statistical properties of the reconstructed timeseries to find prominent features. The second example is Pinus [42], which computes a hierarchical aggregation of the investigated timeseries. They employ a triangular-shape image representation of their scale-space, where pixels are coloured by the aggregated values.…”

Section: Scale Viewmentioning

confidence: 99%

Scale-Space Splatting: Reforming Spacetime for Cross-Scale Exploration of Integral Measures in Molecular Dynamics

Pálenik

Brückner

Hauser

2019

IEEE Trans. Visual. Comput. Graphics

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Fig. 1: Novel representation of electrostatic interaction energy (in the middle) helps navigating the simulation by spatially resolving contributions to the integral measure traditionally represented by a timeseries (blue line in the bottom). It captures different modes of the simulation better than the timeseries and helps localizing changes in the configuration of the simulation by providing spatial context. The multiscale behaviour of the data is explored by seamlessly navigating the spatiotemporal scale-space. The selected timestep shows the ligand escaping from the tunnel, before it is sucked back in by the protein.Abstract-Understanding large amounts of spatiotemporal data from particle-based simulations, such as molecular dynamics, often relies on the computation and analysis of aggregate measures. These, however, by virtue of aggregation, hide structural information about the space/time localization of the studied phenomena. This leads to degenerate cases where the measures fail to capture distinct behaviour. In order to drill into these aggregate values, we propose a multi-scale visual exploration technique. Our novel representation, based on partial domain aggregation, enables the construction of a continuous scale-space for discrete datasets and the simultaneous exploration of scales in both space and time. We link these two scale-spaces in a scale-space space-time cube and model linked views as orthogonal slices through this cube, thus enabling the rapid identification of spatio-temporal patterns at multiple scales. To demonstrate the effectiveness of our approach, we showcase an advanced exploration of a protein-ligand simulation.

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“…Such multiscale exploration tools have also been used for exploring the dynamics of env. systems [56].…”

Section: Suggested Design Patternsmentioning

confidence: 99%

Design Patterns for Visualization-Based Tools in Sustainable Product Design

Ramanujan

Bernstein

Ramani

2017

Volume 4: 22nd Design for Manufacturing and the Life Cycle Conference; 11th International Conference on Micro- And Nanosystems

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Most design activities involve exploring and comparing existing designs. Thus, adopting an eco-conscious approach in the design exploration process can aid environmentally sustainable product design (SPD). One approach for supporting exploration in SPD is through tools based on information visualization (InfoVis). The use of InfoVis for SPD allows data-driven exploration of solutions that is rapid, direct, and supports investigation of questions that the designer may not have identified. Previous work has demonstrated the utility of InfoVis tools for different facets of the lifecycle, e.g. redesign, supply chain exploration, and life cycle assessment. These tools focus on projecting sustainability-related implications back to design. However, to fully realize their potential, future tools must synthesize data in a manner that helps designers view the effects of a design change on all downstream stages. Such tools will have to work across multiple data types, visual representations, and stakeholders. In this paper, we take the first steps towards addressing this challenge by formulating design patterns for visualization and interaction of product lifecycle data. These design patterns were synthesized by reviewing previous works that have successfully created visualization-based tools for SPD. The suggested * Address all correspondence devr@mit.edu design patterns can, (1) serve as a guide for creating integrated visualization-based tools for SPD, and (2) help create reusable visual components that aid in quick interface wireframing.

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A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series

Cited by 34 publications

References 32 publications

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

Visual Analytics in Environmental Research: A Survey on Challenges, Methods and Available Tools

Scale-Space Splatting: Reforming Spacetime for Cross-Scale Exploration of Integral Measures in Molecular Dynamics

Design Patterns for Visualization-Based Tools in Sustainable Product Design

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