2014 IEEE Pacific Visualization Symposium

4-7 March 2014

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  • [Front cover]

    Publication Year: 2014, Page(s): C4
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  • [Title page i]

    Publication Year: 2014, Page(s): i
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  • [Title page iii]

    Publication Year: 2014, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2014, Page(s): iv
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  • Table of contents

    Publication Year: 2014, Page(s):v - ix
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  • Foreword to PacificVis 2014 Symposium Proceedings

    Publication Year: 2014, Page(s):x - xi
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  • Organizing Committee

    Publication Year: 2014, Page(s): xii
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  • Program Committee

    Publication Year: 2014, Page(s): xiii
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  • Visualization Notes Committee

    Publication Year: 2014, Page(s): xiv
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  • Steering Committee

    Publication Year: 2014, Page(s): xv
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  • Reviewers

    Publication Year: 2014, Page(s):xvi - xvii
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  • Welcome to the PacificVAST Workshop

    Publication Year: 2014, Page(s): xviii
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  • Keynotes

    Publication Year: 2014, Page(s):xix - xx
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB)

    These keynotes speeches discuss the following: Expanding the Universe- From Volume Rendering to High-Dimensional Data Visualization; Comparative Visualization. View full abstract»

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  • Exploring Curved Schematization

    Publication Year: 2014, Page(s):1 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (777 KB) | HTML iconHTML

    Hand-drawn schematized maps traditionally make extensive use of curves. However, there are few automated approaches for curved schematization most previous work focuses on straight lines. We present a new algorithm for area-preserving curved schematization of geographic outlines. Our algorithm converts a simple polygon into a schematic crossing-free representation using circular arcs. We use two b... View full abstract»

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  • FlowString: Partial Streamline Matching Using Shape Invariant Similarity Measure for Exploratory Flow Visualization

    Publication Year: 2014, Page(s):9 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1819 KB) | HTML iconHTML

    Measuring the similarity of integral curves is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying, streamline clustering and hierarchical exploration. In this paper, we introduce FlowString, a novel approach that extracts shape invariant features from streamlines and utilizes a string-based method for exploratory streamline analysis... View full abstract»

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  • Non-overlapping Aggregated Multivariate Glyphs for Moving Objects

    Publication Year: 2014, Page(s):17 - 24
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (827 KB) | HTML iconHTML

    In moving object visualization, objects and their attributes are commonly represented by glyphs on a geographic map. In areas on the map densely populated by these objects, visual clutter and occlusion of glyphs occur. We propose a method to solve this problem by partitioning the set of all objects into subsets that are each visualized using an aggregated multivariate glyph that shows the distribu... View full abstract»

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  • FlowTour: An Automatic Guide for Exploring Internal Flow Features

    Publication Year: 2014, Page(s):25 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2339 KB) | HTML iconHTML

    We present FlowTour, a novel framework that provides an automatic guide for exploring internal flow features. Our algorithm first identifies critical regions and extracts their skeletons for feature characterization and streamline placement. We then create candidate viewpoints based on the construction of a simplified mesh enclosing each critical region and select best viewpoints based on a viewpo... View full abstract»

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  • Scalable Lagrangian-Based Attribute Space Projection for Multivariate Unsteady Flow Data

    Publication Year: 2014, Page(s):33 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2299 KB) | HTML iconHTML

    In this paper, we present a novel scalable approach for visualizing multivariate unsteady flow data with Lagrangian-based Attribute Space Projection (LASP). The distances between spatial temporal samples are evaluated by their attribute values along the advection directions in the flow field. The massive samples are then projected into 2D screen space for feature identification and selection. A hy... View full abstract»

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  • Moment Invariants for 2D Flow Fields Using Normalization

    Publication Year: 2014, Page(s):41 - 48
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1199 KB) | HTML iconHTML

    The analysis of 2D flow data is often guided by the search for characteristic structures with semantic meaning. One way to approach this question is to identify structures of interest by a human observer. The challenge then, is to find similar structures in the same or other datasets on different scales and orientations. In this paper, we propose to use moment invariants as pattern descriptors for... View full abstract»

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  • 2D Vector Field Simplification Based on Robustness

    Publication Year: 2014, Page(s):49 - 56
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4476 KB) | HTML iconHTML

    Vector field simplification aims to reduce the complexity of the flow by removing features in order of their relevance and importance, to reveal prominent behavior and obtain a compact representation for interpretation. Most existing simplification techniques based on the topological skeleton successively remove pairs of critical points connected by separatrices, using distance or area-based relev... View full abstract»

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  • An Edge-Bundling Layout for Interactive Parallel Coordinates

    Publication Year: 2014, Page(s):57 - 64
    Cited by:  Papers (7)  |  Patents (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1762 KB) | HTML iconHTML

    Parallel Coordinates is an often used visualization method for multidimensional data sets. Its main challenges for large data sets are visual clutter and over plotting which hamper the recognition of patterns in the data. We present an edge-bundling method using density-based clustering for each dimension. This reduces clutter and provides a faster overview of clusters and trends. Moreover, it all... View full abstract»

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  • Visual Signature of High-Dimensional Geometry in Parallel Coordinates

    Publication Year: 2014, Page(s):65 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1813 KB) | HTML iconHTML

    Although we can interactively rotate a 3D projected high-dimensional geometry and observe its dynamic changes, this traditional visualization method is limited and highly sensitive to the choice of viewing direction. Parallel-coordinates plots supplement this visualization scenario by providing statistical analysis of the geometry for distinct pairs of co-dimensions. Such analysis results in visua... View full abstract»

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  • ScagExplorer: Exploring Scatterplots by Their Scagnostics

    Publication Year: 2014, Page(s):73 - 80
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2037 KB) | HTML iconHTML

    A scatter plot displays a relation between a pair of variables. Given a set of v variables, there are v(v- 1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots. Therefore for even small sets of variables, the number of scatter plots can be large. Scatter plot matrices (SPLOMs) can easily run out of pixels when presenting high-dimensional data. We introduce a theore... View full abstract»

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  • Using Entropy-Related Measures in Categorical Data Visualization

    Publication Year: 2014, Page(s):81 - 88
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1907 KB) | HTML iconHTML

    A wide variety of real-world applications generate massive high dimensional categorical datasets. These datasets contain categorical variables whose values comprise a set of discrete categories. Visually exploring these datasets for insights is of great interest and importance. However, their discrete nature often confounds the direct application of existing multidimensional visualization techniqu... View full abstract»

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  • Hierarchical Focus+Context Heterogeneous Network Visualization

    Publication Year: 2014, Page(s):89 - 96
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1088 KB) | HTML iconHTML

    Aggregation is a scalable strategy for dealing with large network data. Existing network visualizations have allowed nodes to be aggregated based on node attributes or network topology, each of which has its own advantages. However, very few previous systems have the capability to enjoy the best of both worlds. This paper presents OnionGraph, an integrated framework for exploratory visual analysis... View full abstract»

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