{"title":"A bottom-up scheme for user-defined feature exploration in vector field ensembles","authors":"Richen Liu, Hanqi Guo, Xiaoru Yuan","doi":"10.1109/SciVis.2015.7429510","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429510","url":null,"abstract":"Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they often make more sense according to the domain knowledge. In this work, we present a framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help to extract vortex with a user-defined shape, and further compute the geometry information including the size, and the geo-spatial location of the extracted vortex. Finally we design some linked views to compare the feature between different runs.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An evaluation of three methods for visualizing uncertainty in architecture and archaeology","authors":"S. Houde, S. Bonde, D. Laidlaw","doi":"10.1109/SciVis.2015.7429507","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429507","url":null,"abstract":"This project explores the representation of uncertainty in visualizations for archaeological research and provides insights obtained from user feedback. Our 3D models brought together information from standing architecture and excavated remains, surveyed plans, ground penetrating radar (GPR) data from the Carthusian monastery of Bourgfontaine in northern France. We also included information from comparative Carthusian sites and a bird's eye representation of the site in an early modern painting. Each source was assigned a certainty value which was then mapped to a color or texture for the model. Certainty values between one and zero were assigned by one subject matter expert and should be considered qualitative. Students and faculty from the fields of architectural history and archaeology at two institutions interacted with the models and answered a short survey with four questions about each. We discovered equal preference for color and transparency and a strong dislike for the texture model. Discoveries during model building also led to changes of the excavation plans for summer 2015.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123533570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. El-Shehaly, D. Gračanin, M. Gad, Junpeng Wang, Hicham G. Elmongui
{"title":"Real-time interactive time correction on the GPU","authors":"M. El-Shehaly, D. Gračanin, M. Gad, Junpeng Wang, Hicham G. Elmongui","doi":"10.1109/SciVis.2015.7429505","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429505","url":null,"abstract":"The study of physical phenomena and their dynamic evolution is supported by the analysis and visualization of time-enabled data. In many applications, available data are sparsely distributed in the space-time domain, which leads to incomprehensible visualizations. We present an interactive approach for the dynamic tracking and visualization of measured data particles through advection in a simulated flow. We introduce a fully GPU-based technique for efficient spatio-temporal interpolation, using a kd-tree forest for acceleration. As the user interacts with the system using a time slider, particle positions are reconstructed for the time selected by the user. Our results show that the proposed technique achieves highly accurate parallel tracking for thousands of particles. The rendering performance is mainly affected by the size of the query set.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"815 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126458032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Preston, F. Sauer, Ramyar Ghods, Nick Leaf, Jingrong Xie, K. Ma
{"title":"Integrated explorer for cosmological evolution","authors":"A. Preston, F. Sauer, Ramyar Ghods, Nick Leaf, Jingrong Xie, K. Ma","doi":"10.1109/SciVis.2015.7429499","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429499","url":null,"abstract":"Our system design is motivated by the need to simultaneously observe multiple data modalities. The main output from the cosmological simulation is a set of particle data, where each particle represents a dark matter parcel which coalesces into larger structures over time. Next, the data is run through a halo finding algorithm (Rockstar [1]), which detects groups of gravitationally bound particles and identifies them as halos. Lastly, a merger tree generation tool (Consistent Trees [2]) analyzes the hierarchical evolution of halos as they continue to merge into larger structures. Although each of these data modalities are generated through an iterative process, an understanding of their interplay is essential. Since information about the raw particle data and the extracted halos inform one another, we designed a multi-view exploration tool and enhance these views with both qualitative and quantitative information. Because of the scale of the data and the multitude of features, we aim to provide capability to both locate and focus analysis on specific features of interest.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133961265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Wald, A. Knoll, Gregory P. Johnson, W. Usher, Valerio Pascucci, M. Papka
{"title":"CPU ray tracing large particle data with balanced P-k-d trees","authors":"I. Wald, A. Knoll, Gregory P. Johnson, W. Usher, Valerio Pascucci, M. Papka","doi":"10.1109/SciVis.2015.7429492","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429492","url":null,"abstract":"We present a novel approach to rendering large particle data sets from molecular dynamics, astrophysics and other sources. We employ a new data structure adapted from the original balanced k-d tree, which allows for representation of data with trivial or no overhead. In the OSPRay visualization framework, we have developed an efficient CPU algorithm for traversing, classifying and ray tracing these data. Our approach is able to render up to billions of particles on a typical workstation, purely on the CPU, without any approximations or level-of-detail techniques, and optionally with attribute-based color mapping, dynamic range query, and advanced lighting models such as ambient occlusion and path tracing.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated visualization workflow for simulation experiments","authors":"J. Leidig, S. Dharmapuri","doi":"10.1109/SciVis.2015.7429509","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429509","url":null,"abstract":"Modeling and simulation is often used to predict future events and plan accordingly. Experiments in this domain often produce thousands of results from individual simulations, based on slightly varying input parameters. Geo-spatial visualizations can be a powerful tool to help health researchers and decision-makers to take measures during catastrophic and epidemic events such as Ebola outbreaks. The work produced a web-based geo-visualization tool to visualize and compare the spread of Ebola in the West African countries Ivory Coast and Senegal based on multiple simulation results. The visualization is not Ebola specific and may visualize any time-varying frequencies for given geo-locations.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114300066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorge Poco, Harish Doraiswamy, M. Talbert, J. Morisette, Cláudio T. Silva
{"title":"Using maximum topology matching to explore differences in species distribution models","authors":"Jorge Poco, Harish Doraiswamy, M. Talbert, J. Morisette, Cláudio T. Silva","doi":"10.1109/SciVis.2015.7429486","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429486","url":null,"abstract":"Species distribution models (SDM) are used to help understand what drives the distribution of various plant and animal species. These models are typically high dimensional scalar functions, where the dimensions of the domain correspond to predictor variables of the model algorithm. Understanding and exploring the differences between models help ecologists understand areas where their data or understanding of the system is incomplete and will help guide further investigation in these regions. These differences can also indicate an important source of model to model uncertainty. However, it is cumbersome and often impractical to perform this analysis using existing tools, which allows for manual exploration of the models usually as 1-dimensional curves. In this paper, we propose a topology-based framework to help ecologists explore the differences in various SDMs directly in the high dimensional domain. In order to accomplish this, we introduce the concept of maximum topology matching that computes a locality-aware correspondence between similar extrema of two scalar functions. The matching is then used to compute the similarity between two functions. We also design a visualization interface that allows ecologists to explore SDMs using their topological features and to study the differences between pairs of models found using maximum topological matching. We demonstrate the utility of the proposed framework through several use cases using different data sets and report the feedback obtained from ecologists.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122912025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Bock, Michal Marcinkowski, J. Kilby, C. Emmart, A. Ynnerman
{"title":"OpenSpace: Public dissemination of space mission profiles","authors":"A. Bock, Michal Marcinkowski, J. Kilby, C. Emmart, A. Ynnerman","doi":"10.1109/SciVis.2015.7429503","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429503","url":null,"abstract":"This work presents a visualization system and its application to space missions. The system allows the public to disseminate the scientific findings of space craft and gain a greater understanding thereof. Instruments' field-of-views and their measurements are embedded in an accurate 3 dimensional rendering of the solar system to provide context to past measurements or the planning of future events. We tested our system with NASA's New Horizons at the Pluto Pallooza event in New York and will expose it to the greater public on the upcoming July 14th Pluto flyby.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124925673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur
{"title":"Visualizing the life and anatomy of dark matter","authors":"Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur","doi":"10.1109/SciVis.2015.7429498","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429498","url":null,"abstract":"We provide a visualization based answer to understanding the evolution and structure of dark matter halos by addressing the tasks assigned in 2015 IEEE Scientific Visualization Contest. The data released this year is a Cosmological Simulation dataset generated from the Dark Sky Simulation experiments. Out of the assigned tasks we are addressing the following: data integration and browsing, halo identification and visualization and diving deep into halo substructure.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Hanula, Kamil Piekutowski, Carlos Uribe, K. Almryde, Arthur Nishimoto, J. Aguilera, G. Marai
{"title":"Cavern Halos: Exploring spatial and nonspatial cosmological data in an immersive virtual environment","authors":"P. Hanula, Kamil Piekutowski, Carlos Uribe, K. Almryde, Arthur Nishimoto, J. Aguilera, G. Marai","doi":"10.1109/SciVis.2015.7429497","DOIUrl":"https://doi.org/10.1109/SciVis.2015.7429497","url":null,"abstract":"We present the design and implementation of an immersive visual mining and analysis tool for cosmological data. The tool consists of an immersive linked multiview display which allows domain experts to interact with visual representations of spatial and nonspatial cosmology data. Nonspatial data is represented as time-aligned merger trees, and through a pixel-based heatmap. Spatial data is represented through GPU-accelerated point clouds and geometric primitives. The user can select a halo and visualize a 3D representation of the raw particles, as well as of the halos at the particular time stamp. We have demonstrated the tool to a senior staff member of the Adler Planetarium and report their feedback. The tool can assist researchers in the interaction navigation and mining of large scale cosmological simulation data.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126470338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}