A. Schoedon, Matthias Trapp, Henning Hollburg, J. Döllner
{"title":"Interactive Web-based Visualization for Accessibility Mapping of Transportation Networks","authors":"A. Schoedon, Matthias Trapp, Henning Hollburg, J. Döllner","doi":"10.2312/eurovisshort.20161165","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161165","url":null,"abstract":"Accessibility is a fundamental aspect in transportation, routing, and spare-time activity planning concerning traveling in modern cities. In this context, interactive web-based accessibility-map visualization techniques and systems are important tools for provisioning, exploration, analysis, and assessment of multi-modal and location-based travel time data and routing information. To enable their effective application, such interactive visualization techniques demands for flexible mappings with respect to user-adjustable parameters such as maximum travel times, the types of transportation used, or used color schemes. However, traditional approaches for web-based visualization of accessibility-maps do not allow this degree of parametrization without significant latencies introduced by required data processing and transmission between the routing server and the visualization client. This paper presents a novel web-based visualization technique that allows for efficient client-side mapping and rendering of accessibility data onto transportation networks using WebGL and the OpenGL transmission format. A performance evaluation and comparison shows the superior performance of the approach over alternative implementations.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316672","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":"Detecting and Visualizing Rip Current Using Optical Flow","authors":"Shweta Philip, A. Pang","doi":"10.2312/eurovisshort.20161155","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161155","url":null,"abstract":"Rip current are fast moving and narrow currents that are strongest near the beach. They are dangerous not only for novice but also experienced swimmers. Once caught in the current, the flow of the water pulls the person away from the beach. Many people in panic try to swim against the current and end up drowning due to exhaustion since these currents are usually faster than the speed at which one can swim. They have led to the drowning deaths of more than 100 beachgoers each year in United States alone [USL16]. For a knowledgeable person, these rip-currents are fairly easy to spot. But they are a threat to most people who are unaware of rip-currents or who do not know how to identify them. In this paper, we discuss a novel approach that uses optical flow to detect rip currents and then visualize them in an intuitive manner.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130700814","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":"Judgment Error in Pie Chart Variations","authors":"Robert Kosara, Drew Skau","doi":"10.2312/eurovisshort.20161167","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161167","url":null,"abstract":"Pie charts and their variants are prevalent in business settings and many other uses, even if they are not popular with the academic community. In a recent study, we found that contrary to general belief, there is no clear evidence that these charts are read based on the central angle. Instead, area and arc length appear to be at least equally important. \u0000 \u0000In this paper, we build on that study to test several pie chart variations that are popular in information graphics: exploded pie chart, pie with larger slice, elliptical pie, and square pie (in addition to a regular pie chart used as the baseline). We find that even variants that do not distort central angle cause greater error than regular pie charts. Charts that distort the shape show the highest error. Many of our predictions based on the previous study's results are borne out by this study's findings.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121619031","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":"Understanding Networks beyond Overlapping Clusters","authors":"V. Guchev, Simone Angelini, G. Amati","doi":"10.2312/eurp.20161147","DOIUrl":"https://doi.org/10.2312/eurp.20161147","url":null,"abstract":"Tasks associated with the investigation of large complex clustered networks are widespread in various research areas. Among the popular and common approaches to exploratory analysis, it is definitely worthwhile to underscore the node-link-based graph visualization. However, despite the prevalence of node-link-based tools, its graphic design and geometric representation of topology almost invariably formed by a spontaneous spatial structure, or on the contrary, by a too rigidly ordered arrangement. Transformation possibilities of multivariate data structures may allow finding a suitable graphic balance between optic chaos and visual primitiveness by the use of partially ordered sets for grouping. By taking the studying of Twitter communities as a task, the paper presents a data modelling method in conjunction with a set of visualization techniques, which implement a convenient and perceivable interactive toolset for analytical exploration of overlapping network clusters.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133637727","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}
D. Sessler, M. Spott, D. Nauck, W. Harmer, J. Kohlhammer, J. Bernard
{"title":"Towards Combining Attribute-based and Time Series-based Visual Querying","authors":"D. Sessler, M. Spott, D. Nauck, W. Harmer, J. Kohlhammer, J. Bernard","doi":"10.2312/eurp.20161145","DOIUrl":"https://doi.org/10.2312/eurp.20161145","url":null,"abstract":"We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, we propose a three-stage approach, combining visual-interactive querying, query filter analysis, and result exploration. The approach includes several design parameters that can easily be adapted in future design studies for alternative applications.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123406357","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":"Manifold Visualization via Short Walks","authors":"Yang Zhao, S. Tasoulis, Teemu Roos","doi":"10.2312/eurovisshort.20161166","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161166","url":null,"abstract":"Visualizing low-dimensional non-linear manifolds underlying high-dimensional data is a challenging data analysis problem. Different manifold visualization methods can be characterized by the associated definitions of proximity between high-dimensional data points and score functions that lead to different low-dimensional embeddings, preserving different features in the data. The geodesic distance is a popular and well-justified metric. However, it is very hard to approximate reliably from finite samples especially between far apart points. In this paper, we propose a new method called Minimap. The basic idea is to approximate local geodesic distances by shortest paths along a neighborhood graph with an additional penalizing factor based on the number of steps in the path. Embedding the resulting metric by Sammon mapping further enhances the local structures at the expense of long distances that tend to be less reliable. Experiments on real-world benchmarks suggest that Minimap can robustly visualize manifold structures.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121420169","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":"Quantitative Evaluation for Edge Bundling Based on Structural Aesthetics","authors":"R. Saga","doi":"10.2312/eurp.20161131","DOIUrl":"https://doi.org/10.2312/eurp.20161131","url":null,"abstract":"This study proposes a method to evaluate the efficiency of edge bundling. Edge bundling is important to improve visual clutter of edge visualization. However, the evaluation of edge bundling is based only on qualitative evaluations, and the evaluation cost is expensive. Therefore, this paper proposes three measurement strategies to evaluate edge bundling, namely, the edge lengths before and after edge bundling, occupation area, and edge density.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132910449","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":"Visualizing Time-Dependent Data Using Dynamic t-SNE","authors":"P. E. Rauber, A. Falcão, A. Telea","doi":"10.2312/eurovisshort.20161164","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161164","url":null,"abstract":"Many interesting processes can be represented as time-dependent datasets. We define a time-dependent dataset as a sequence of datasets captured at particular time steps. In such a sequence, each dataset is composed of observations (high-dimensional real vectors), and each observation has a corresponding observation across time steps. Dimensionality reduction provides a scalable alternative to create visualizations (projections) that enable insight into the structure of such datasets. However, applying dimensionality reduction independently for each dataset in a sequence may introduce unnecessary variability in the resulting sequence of projections, which makes tracking the evolution of the data significantly more challenging. We show that this issue affects t-SNE, a widely used dimensionality reduction technique. In this context, we propose dynamic t-SNE, an adaptation of t-SNE that introduces a controllable trade-off between temporal coherence and projection reliability. Our evaluation in two time-dependent datasets shows that dynamic t-SNE eliminates unnecessary temporal variability and encourages smooth changes between projections.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133380691","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":"Spiral Theme Plot","authors":"Shenghui Jiang, S. Fang, S. Grannis","doi":"10.2312/eurovisshort.20161170","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161170","url":null,"abstract":"We introduce a new visualization method for temporal data, Spiral Theme Plot, by combining ThemeRiver method, spiral patterns, and scatter plot technique. Similar to ThemeRiver, data in different categories (themes) are visualized in different bands, but also in a spiral pattern. Themes are stacked along a spiral curve, which represent the time axis. Individual data points are plotted within the regions of the themes, with various visual features. In addition to showing the overall theme patterns over time, this approach also shows plotting patterns within the themes. Compared to ThemeRiver, Spiral Theme Plot can accommodate longer time axis, and more importantly, can provide periodic patterns that are typically not available in ThemeRiver.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946786","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":"Visualizing Flow Fields Using Fractal Dimensions","authors":"Han-Wei Shen, R. Vasko, R. Wenger","doi":"10.2312/eurovisshort.20161156","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161156","url":null,"abstract":"Streamlines are a popular way of visualizing flow in vector fields. A major challenge in flow field visualization is selecting the streamlines to view. Rendering too many streamlines clutters the visualization and makes features of the field difficult to identify. Rendering too few streamlines causes viewers to completely miss features of the flow field not rendered. \u0000 \u0000The fractal dimension of a streamline represents its space-filling properties. To identify complex or interesting streamlines, we build a regular grid of scalar values which represent the fractal dimension of streamlines around each grid vertex. Vortices and turbulent regions are often associated with regions of high fractal dimension. We use this scalar grid both to filter streamlines by fractal dimension and to identify and visualize regions containing vortices and turbulence. We describe an interactive tool which allows for quick streamline selection and visualization of regions containing vortices and turbulence.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115886056","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}