The Community for Technology Leaders
2015 IEEE Scientific Visualization Conference (SciVis) (2015)
Chicago, IL, USA
Oct. 25, 2015 to Oct. 30, 2015
ISBN: 978-1-4673-9785-8
TABLE OF CONTENTS

Title page (PDF)

pp. 1

Preface (PDF)

pp. 1-2

VIS keynote address: An evolving visual language (PDF)

Donna J. Cox , University of Illinois, Chicago
pp. 1

Papers (PDF)

pp. 1-2

A classification of user tasks in visual analysis of volume data (Abstract)

Bireswar Laha , Stanford University
Doug A. Bowman , Virginia Tech
David H. Laidlaw , Brown University
John J. Socha , Virginia Tech
pp. 1-8

Using maximum topology matching to explore differences in species distribution models (Abstract)

Jorge Poco , New York University
Harish Doraiswamy , New York University
Marian Talbert , U.S. Geological Survey
Jeffrey Morisette , U.S. Geological Survey
Claudio T. Silva , New York University
pp. 9-16

Visual verification of space weather ensemble simulations (Abstract)

Alexander Bock , Linkoping University
Asher Pembroke , NASA Goddard Space Flight Center
M. Leila Mays , NASA Goddard Space Flight Center
Lutz Rastaetter , NASA Goddard Space Flight Center
Timo Ropinski , Ulm University
Anders Ynnerman , Linköping University
pp. 17-24

A visual voting framework for weather forecast calibration (Abstract)

Hongsen Liao , School of Software, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University
Yingcai Wu , State Key Lab of CAD & CG, Zhejiang University
Li Chen , School of Software, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University
Thomas M. Hamill , NOAA Earth System Research Lab, Physical Sciences Division
Yunhai Wang , Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Kan Dai , National Meteorological Center of CMA
Hui Zhang , School of Software, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University
Wei Chen , State Key Lab of CAD & CG, Zhejiang University
pp. 25-32

Explicit frequency control for high-quality texture-based flow visualization (Abstract)

Victor Matvienko , Saarland University
Jens Kruger , University Duisburg-Essen
pp. 41-48

Feature-based tensor field visualization for fiber reinforced polymers (Abstract)

Valentin Zobel , Leipzig University
Markus Stommel , TU Dortmund University
Gerik Scheuermann , Leipzig University
pp. 49-56

CPU ray tracing large particle data with balanced P-k-d trees (Abstract)

Ingo Wald , Intel Corporation
Aaron Knoll , SCI Institute, University of Utah
Gregory P. Johnson , Intel Corporation
Will Usher , SCI Institute, University of Utah
Valerio Pascucci , SCI Institute, University of Utah
Michael E. Papka , Argonne National Laboratory, Northern Illinois University
pp. 57-64

Contest (PDF)

pp. 1-2

Halos in a dark sky: Interactively exploring the structure of dark matter halo merger trees (PDF)

Kyle R. Almryde , University of Illinois at Chicago
Angus G. Forbes , University of Illinois at Chicago
pp. 73-77

Visualising the dark sky IEEE SciVis contest 2015 (PDF)

Theodoros Christoudias , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
Christos Kallidonis , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
Loizos Koutsantonis , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
Christos Lemesios , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
Lefteris Markou , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
Constantinos Sophocleous , Computational Science and Technology Research Center (CaSToRC) Cyprus Institute
pp. 79-86

Cavern Halos: Exploring spatial and nonspatial cosmological data in an immersive virtual environment (PDF)

Peter Hanula , Electronic Visualization Laboratory University of Illinois at Chicago
Kamil Piekutowski , Electronic Visualization Laboratory University of Illinois at Chicago
Carlos Uribe , Electronic Visualization Laboratory University of Illinois at Chicago
Kyle Almryde , Electronic Visualization Laboratory University of Illinois at Chicago
Arthur Nishimoto , Electronic Visualization Laboratory University of Illinois at Chicago
Julieta Aguilera , Adler Planetarium, Chicago, IL
G. Elisabeta Marai , Electronic Visualization Laboratory University of Illinois at Chicago
pp. 87-99

Visualizing the life and anatomy of dark matter (PDF)

Subhashis Hazarika , The Ohio State University
Tzu-Hsuan Wei , The Ohio State University
Rajaditya Mukherjee , The Ohio State University
Alexandru Barbur , The Ohio State University
pp. 101-106

Integrated explorer for cosmological evolution (PDF)

Annie Preston , University of California at Davis
Franz Sauer , University of California at Davis
Ramyar Ghods , University of California at Davis
Nick Leaf , University of California at Davis
Jinrong Xie , University of California at Davis
Kwan-Liu Ma , University of California at Davis
pp. 107-114

Visualize the universe: Interactive exploration of cosmological dark matter simulation data (PDF)

Aaron Scherzinger , University of Münster
Tobias Brix , University of Münster
Dominik Drees , University of Münster
Andreas Volker , University of Münster
Kiril Radkov , University of Münster
Niko Santalidis , University of Münster
Alexander Fieguth , University of Münster
Klaus Hinrichs , University of Münster
pp. 115-135

Posters (PDF)

pp. 1-2

OpenSpace: Public dissemination of space mission profiles (Abstract)

Alexander Bock , Linköping University
Michal Marcinkowski , American Museum of Natural History, Linköping University
Joakim Kilby , Linköping University
Carter Emmart , American Museum of Natural History
Anders Ynnerman , Linköping University
pp. 141-142

3D superquadric glyphs for visualizing myocardial motion (Abstract)

Teodora Chitiboi , FraunhoferMEVIS, Jacobs University Bremen
Mathias Neugebauer , Fraunhofer MEVIS
Susanne Schnell , Northwestern University
Michael Markl , Northwestern University
Lars Linsen , Jacobs University Bremen
pp. 143-144

Real-time interactive time correction on the GPU (Abstract)

Mai Elshehaly , Virginia Tech
Denis Gracanin , Virginia Tech
Mohamed Gad , Ain Shams University
Junpeng Wang , Virginia Tech
Hicham G. Elmongui , Alexandria University
pp. 145-146

Visualizing crossing probabilistic tracts (Abstract)

Mathias Goldau , Leipzig University
Andre Reichenbach , Leipzig University
Mario Hlawitschka , Leipzig University
pp. 147-148

Multiresolution visualization of digital earth data via hexagonal box-spline wavelets (Abstract)

Mohammad Imrul Jubair , University of Calgary
Usman Alim , University of Calgary
Niklas Roeber , German Climate Computing Centre
John Clyne , University Corporation for Atmospheric Research
Ali Mahdavi-Amiri , University of Calgary
Faramarz Samavati , University of Calgary
pp. 151-152

Automated visualization workflow for simulation experiments (Abstract)

Jonathan P. Leidig , School of Computing and Information Systems, Grand Valley State University
Santhosh Dharmapuri , School of Computing and Information Systems, Grand Valley State University
pp. 153-154

A bottom-up scheme for user-defined feature exploration in vector field ensembles (Abstract)

Richen Liu , Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University
Hanqi Guo , Argonne National Laboratory
Xiaoru Yuan , Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University
pp. 155-156

Visualizing 3D flow through cutting planes (Abstract)

Colin Ware , University of New Hampshire
Andrew H. Stevens , University of New Hampshire
pp. 161-162

Inviwo ? An extensible, multi-purpose visualization framework (Abstract)

Erik Sunden , Linkoping University
Peter Steneteg , Linköping University
Sathish Kottravel , Linkoping University
Daniel Jonsson , Linkoping University
Rickard Englund , Linkoping University
Martin Falk , Linkoping University
Timo Ropinski , Ulm University
pp. 163-164

High performance flow field visualization with high-order access dependencies (Abstract)

Jiang Zhang , Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University
Hanqi Guo , Argonne National Laboratory
Xiaoru Yuan , Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University
pp. 165-166
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