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IEEE Computer Graphics and Applications

Issue 5 • 2017

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Displaying Results 1 - 19 of 19
  • Front Cover 
  • Front Cover

    Publication Year: 2017, Page(s): c1
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  • Masthead 
  • Masthead

    Publication Year: 2017, Page(s): c2
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2017, Page(s):1 - 2
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  • About the Cover 
  • Illuminating Nature

    Publication Year: 2017, Page(s):3 - 4
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  • Art on Graphics 
  • Coming Into Focus: An Interview with Ellen Jantzen

    Publication Year: 2017, Page(s):5 - 8
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  • Education 
  • Making Together: An Interdisciplinary, Inter-institutional Assistive-Technology Project

    Publication Year: 2017, Page(s):9 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1147 KB) | HTML iconHTML

    Faculty at the University of North Carolina Asheville partnered with local healthcare professionals and retirement home residents and administrators on an assistive-technology project. The Creative Fabrication introductory computer science course incorporated subject-matter experts from the healthcare community, older and differently abled “users,” medical students, and sculpture fac... View full abstract»

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  • Guest Editors Introduction 
  • Geographic Data Science

    Publication Year: 2017, Page(s):15 - 17
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  • Geographic Data Science 
  • Typology of Uncertainty in Static Geolocated Graphs for Visualization

    Publication Year: 2017, Page(s):18 - 27
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2645 KB) | HTML iconHTML

    Static geolocated graphs have nodes connected by edges, where both can have geographic location and associated attributes. For example, it can be uncertain exactly where a node is located or whether an edge between two nodes exists. Because source data is often incomplete or inexact, it is necessary to visualize this uncertainty to help users make appropriate decisions. The proposed typology of un... View full abstract»

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  • ANALYTiC: An Active Learning System for Trajectory Classification

    Publication Year: 2017, Page(s):28 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3248 KB) | HTML iconHTML

    The increasing availability and use of positioning devices has resulted in large volumes of trajectory data. However, semantic annotations for such data are typically added by domain experts, which is a time-consuming task. Machine-learning algorithms can help infer semantic annotations from trajectory data by learning from sets of labeled data. Specifically, active learning approaches can minimiz... View full abstract»

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  • Impact of Spatial Scales on the Intercomparison of Climate Scenarios

    Publication Year: 2017, Page(s):40 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3769 KB) | HTML iconHTML

    Scenario analysis has been widely applied in climate science to understand the impact of climate change on the future human environment, but intercomparison and similarity analysis of different climate scenarios based on multiple simulation runs remain challenging. Although spatial heterogeneity plays a key role in modeling climate and human systems, little research has been performed to understan... View full abstract»

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  • Urban Space Explorer: A Visual Analytics System for Urban Planning

    Publication Year: 2017, Page(s):50 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2914 KB) | HTML iconHTML

    Understanding people's behavior is fundamental to many planning professions (including transportation, community development, economic development, and urban design) that rely on data about frequently traveled routes, places, and social and cultural practices. Based on the results of a practitioner survey, the authors designed Urban Space Explorer, a visual analytics system that utilizes mobile so... View full abstract»

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  • Name Profiler Toolkit

    Publication Year: 2017, Page(s):61 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3358 KB) | HTML iconHTML

    The Name Profiler Toolkit is a visual analytics system designed to enable the interactive exploration and analysis of forename and surname geographical distributions across the United States. The toolkit utilizes 78 million records from US public telephone directories, links the location data to demographic data from the US Census Bureau and Zillow, and allows users to interactively compare distri... View full abstract»

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  • Feature Article 
  • Terrain Model Reconstruction from Terrestrial LiDAR Data Using Radial Basis Functions

    Publication Year: 2017, Page(s):72 - 84
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5787 KB) | HTML iconHTML

    The presence of vegetation and the terrain topography itself generate strong occlusions causing large gaps in terrestrial laser scanning (TLS) data at the ground level as well as a risk of integrating above-ground objects. This article introduces a surface-approximation algorithm dedicated to extracting digital terrain models (DTMs) from terrestrial TLS data acquired in forest areas. The proposed ... View full abstract»

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  • Spatial Interfaces 
  • Compressing VR: Fitting Large Virtual Environments within Limited Physical Space

    Publication Year: 2017, Page(s):85 - 91
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (952 KB) | HTML iconHTML

    In practice, real-world physical workspaces and technological limitations restrict the free and unlimited exploration of an arbitrary large-scale virtual environment. This article provides an overview of the existing approaches and techniques for enlarging the walkable virtual space. The authors specifically focus on the methods that use spatial manipulation for spatial compression because it is o... View full abstract»

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  • Graphically Speaking 
  • Beautiful Math, Part 6: Visualizing 4D Regular Polytopes Using the Kaleidoscope Principle

    Publication Year: 2017, Page(s):92 - 97
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1305 KB) | HTML iconHTML

    Symmetry can be widely found in natural phenomenon. Regular polygons and polyhedra are the most basic and important symmetrical structures in 2D and 3D Euclidean space. Four-dimensional regular polytopes (4-RPs) are the 4D analogs of regular polyhedra in three dimensions and regular polygons in two dimensions. After introducing the fundamental root systems of 4-RPs, this article presents three int... View full abstract»

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  • Applications 
  • Visual Analytics for Spatial Clusters of Air-Quality Data

    Publication Year: 2017, Page(s):98 - 105
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1759 KB) | HTML iconHTML

    With the rapid development of industrial society, air pollution has become a major issue in the modern world. The development and widespread deployment of sensors has enabled the collection of air-quality datasets with detailed spatial and temporal scales. Analyses of these spatiotemporal air-quality datasets can help decision makers explore the major causes of air pollution and find efficient sol... View full abstract»

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  • Visualization Viewpoints 
  • How Visualization Can Foster Diversity and Inclusion in Next-Generation Science

    Publication Year: 2017, Page(s):106 - 112
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2636 KB) | HTML iconHTML

    Visualization researchers, developers, practitioners, and educators routinely work across traditional discipline boundaries, oftentimes in teams of people that come from a diverse blend of backgrounds, using visualizations as a common language for collaboration. There is a looming global workforce shortage in the computational science and high-tech space, primarily due to a disconnect between popu... View full abstract»

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  • House Advertisement 
  • IEEE CGA Call for Articles

    Publication Year: 2017, Page(s): c3
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  • Prepare to Connect

    Publication Year: 2017, Page(s): c4
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Aims & Scope

IEEE CG&A bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments, including product announcements.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
L. Miguel Encarnação
The QED Group