World Lines

Waser, Jürgen; Fuchs, Raphael; Ribicic, H.; Schindler, Benjamin; Blöschl, Günter; Gröller, Eduard

doi:10.1109/tvcg.2010.223

Cited by 109 publications

(62 citation statements)

References 27 publications

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“…Difference maps are considered by users of simulation-driven decision support systems to be a useful way to compare different simulation states of spatial systems (Waser et al 2010). Examples for such difference maps for comparing flood plains are depicted in Fig.…”

Section: Overlay and Map Algebra For The Computation Of Difference Mapsmentioning

confidence: 99%

GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

et al. 2017

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Emerging methodologies for natural hazard risk assessments involve the execution of a multitude of different interacting simulation models that produce vast amounts of spatio-temporal datasets. This data pool is further enlarged when such simulation results are post-processed using GIS operations, for example to derive information for decisionmaking. The novel approach presented in this paper makes use of the GPU-accelerated rendering pipeline to perform such operations on-the-fly without storing any results on secondary memory and thus saving large amounts of storage space. Particularly, algorithms for three frequently used geospatial analysis methods are provided, namely for the computation of difference maps using map algebra and overlay operations, distance maps and buffers as examples for proximity analyses as well as kernel density estimation and inverse distance weighting as examples for statistical surfaces. In addition, a visualization tool is presented that integrates these methods using a node-based data flow architecture. The application of this visualization tool to the results of a real-world risk assessment methodology used in civil engineering shows that the memory footprint of post-processing datasets can be reduced at the order of terabytes. Although the technique has several limitations, most notably the reduced interoperability with conventional analysis tools, it can be beneficial for other use cases. When integrated into desktop GIS applications, for example, it can be used to quickly generate a preview of the results of complex analysis chains or it can reduce the amount of data to be transferred to web or mobile GIS applications.

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Section: Overlay and Map Algebra For The Computation Of Difference Mapsmentioning

confidence: 99%

GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

et al. 2017

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“…Visualization brings benefits that include significantly improving the process of prototyping engineering designs [17] and comparing flood-control strategies [18].…”

Section: Methods For Pipeline Design and Optimizationmentioning

confidence: 99%

“…In some applications visualization tools are just used to investigate output from computation steps, with examples being Vismon for multiple Monte Carlo runs of a fisheries model [19] and Orchestral for copy number calculations in genomics [1]). In other applications a user both runs computations and visualizes output with a single tool, with examples being World Lines [18] and the visual steering during design prototyping [17].…”

Section: Methods For Pipeline Design and Optimizationmentioning

confidence: 99%

“…Each colored cell indicates a requirement that is important for a given case study/paper, and an 'x' indicates that the requirement remains unmet by users' current tools. [25] req req req req req Chemical process models [26] x req req x Economic modelling [27] req req xx req req x req Aircraft engine design [28] req req x req req Phylogenetic trees [29,30] x req x x req req Molecular evolution [31,32] x x req x req x * Raidou et al [75] iCoCooN req req req * Ruppert et al [46] --x req x Luboshik et al [38] --x req req req Bruckner et al [10] --x req x req * Beham et al [43] Cupid req req xx Konyha et al [39] --x req x Pretorius et al [12] Paramorama req x req Afzal et al [36] RVF x req req x Bergner et al [13] ParaGlide xx req Torsney-Weir et al [33] Tuner x req x x * Padua et al [11] --x req x * Bögl et al [42] TiMoVA req req req x x req Spence et al [73] --req req Berger et al [9] --req x xx Piringer et al [40] HyperMoVal xx req req req Matkovic et al [17] --req x Coffey et al [34] --x x req Matkovic et al [50] --x Potter et al [49] Ensemble-Vis x req Booshehrian et al [19] Vismon req x req x Brecheisen et al [52] --x req x Unger et al [54] --req req req Amirkhanov et al [74] --x Marks et al [48] Design Galleries req x Waser et al [18] World Lines req x x * Martins et al [35] --x req x * Wu [53] --xx x Guo et al [41] --req…”

Section: Characterization Of Requirementsmentioning

confidence: 99%

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Visualization System Requirements for Data Processing Pipeline Design and Optimization

Landesberger

Fellner

Ruddle

2017

IEEE Trans. Visual. Comput. Graphics

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Abstract-The rising quantity and complexity of data creates a need to design and optimize data processing pipelines -the set of data processing steps, parameters and algorithms that perform operations on the data. Visualization can support this process but, although there are many examples of systems for visual parameter analysis, there remains a need to systematically assess users' requirements and match those requirements to exemplar visualization methods. This article presents a new characterization of the requirements for pipeline design and optimization. This characterization is based on both a review of the literature and first-hand assessment of eight application case studies. We also match these requirements with exemplar functionality provided by existing visualization tools. Thus, we provide end-users and visualization developers with a way of identifying functionality that addresses data processing problems in an application. We also identify seven future challenges for visualization research that are not met by the capabilities of today's systems.

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“…Other time-series visualizations employing similar visual concepts to our approach include World Lines [25], a visualization technique for exploring the alternative paths of heterogeneous simulation runs, and LeadLine [10], a visual analytics tool for identifying and representing meaningful events in news and social media data.…”

Section: Related Researchmentioning

confidence: 99%

An Interactive Visualization for Tabbed Browsing Behavior Analysis

Cernea

Truderung

Kerren

et al. 2014

Communications in Computer and Information Science

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Abstract. Web browsers are at the core of online user experience, enabling a wide range of Web applications, like communication, games, entertainment, development, etc. Additionally, given the variety and complexity of online-supported tasks, users have started parallelizing and organizing their online browser sessions by employing multiple browser windows and tabs. However, there are few solutions that support analysts and casual users in detecting and extracting patterns from these parallel browsing histories. In this paper we introduce WebComets, an interactive visualization for exploring multi-session multi-user parallel browsing logs. After highlighting visual and functional aspects of the system, we introduce a motif-based contextual search for enabling the filtering and comparison of user navigation patterns. We further highlight the functionality of WebComets with a use case. Our investigations suggest that parallel browser history visualization can o↵er better insight into user tabbed browsing behavior and support the recognition of online navigation patterns.

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World Lines

Cited by 109 publications

References 27 publications

GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

Visualization System Requirements for Data Processing Pipeline Design and Optimization

An Interactive Visualization for Tabbed Browsing Behavior Analysis

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