Figure 1:The vorticity magnitude on the top and the velocity magnitude on the bottom (volume-rendered in both cases) of a wind simulation around a car as seen from the inside of a streamline and out radially. The horizontal axis is arc-length of the streamline in meter.Abstract W e present two visualization techniques for curve-centric volume reformation with the aim to create compelling comparative vi- A curve-centric volume reformation deforms a volume, with regards to a curve in space, to create a new space in which the curve evaluates to zero in two dimensions and spans its arc-length in the third. The volume surrounding the curve is deformed such that spatial neighborhood to the curve is preserved. The result of the curve-centric reformation produces images where one axis is aligned to arc-length, and thus allows researchers and practitioners to apply their arc-length parameterized data visualizations in parallel for comparison. Furthermore we show that when visualizing dense data, our technique provides an inside out projection, from the curve and out into the volume, which allows for inspection what is around the curve. Finally we demonstrate the usefulness of our techniques in the context of two application cases. We show that existing data visualizations of arc-length parameterized data can be enhanced by using our techniques, in addition to creating a new view and perspective on volumetric data around curves. Additionally we show how volumetric data can be brought into plotting environments that allow precise readouts. In the first case we inspect streamlines in a flow field around a car, and in the second we inspect seismic volumes and well logs from drilling.
Figure 1:Interactive zooming towards SF Bay, where at first all the traffic from the Bay Area is aggregated, to a view where we can separate traffic from the three major airports, and even the distribution of traffic in each airports' cardinal direction. This interaction is enabled by automatically updating the bandwidth of the KDE when the viewport changes. AbstractI n this paper, we discuss the extension and integration of the statistical concept of Kernel Density Estimation (KDE) in a scatterplotlike visualization for dynamic data at interactive rates. We present a line kernel for representing streaming data, we discuss how the concept of KDE can be adapted to enable a continuous representation of the distribution of a dependent variable of a 2D domain. We propose to automatically adapt the kernel bandwith of KDE to the viewport settings, in an interactive visualization environment that allows 45Paper A Interactive Visualization of Streaming Data with Kernel Density Estimation zooming and panning. We also present a GPU-based realization of KDE that leads to interactive frame rates, even for comparably large datasets. Finally, we demonstrate the usefulness of our approach in the context of three application scenarios -one studying streaming ship traffic data, another one from the oil & gas domain, where process data from the operation of an oil rig is streaming in to an on-shore operational center, and a third one studying commercial air traffic in the US spanning 1987 to 2008. 46
The importance of a seaport depends on how well it is connected in a transportation network. A port's connectivity is therefore one of the key issues in determining its competitiveness and developments in regions and countries. We construct a port connectivity index for major Norwegian ports based on a unique dataset derived from the Automated Identification System (AIS) for multiple vessel types over a seven-year period. Port connectivity is evaluated empirically by the number of unique vessel visits, vessel sizes and cargo sizes. The research has implications for port authorities and policy makers in the areas of port planning, infrastructure investment, Short Sea Shipping promotion and environmental policies. The contributions of this research are twofold. Firstly, the methodology linking the AIS vessel tracking system with port connectivity is a pioneering empirical application of maritime big data. Secondly, the port connectivity index is constructed for multiple vessel types and regional port groups, which is an improvement from the current literature where conceptual measures are constructed based on hypothetical and usually too simple optimisation rules. The methodology can be easily expanded to other regions in the world.
Proteins are highly flexible and large amplitude deformations of their structure, also called slow dynamics, are often decisive to their function. We present a two-level rendering approach that enables visualization of slow dynamics of large protein assemblies. Our approach is aligned with a hierarchical model of large scale molecules. Instead of constantly updating positions of large amounts of atoms, we update the position and rotation of residues, i.e., higher level building blocks of a protein. Residues are represented by one vertex only indicating its position and additional information defining the rotation. The atoms in the residues are generated on-the-fly on the GPU, exploiting the new graphics hardware geometry shader capabilities. Moreover, we represent the atoms by billboards instead of tessellated spheres. Our representation is then significantly faster and pixel precise. We demonstrate the usefulness of our new approach in the context of our collaborative bioinformatics project.
Economic theory suggests that the use of more expensive low-sulphur fuel within an Emission Control Area (ECA) should result in lower vessel speeds. The objective of this paper is to investigate empirically, for the first time, whether the introduction of an ECA affects vessel speeds. We utilize a dataset of observed vessel speeds derived from the Automated Information System (AIS) for nearly 7,000 ECA boundary crossings over a three-year period. Our results suggest that introducing stricter sulphur regulations inside the North Sea ECA from 1. January 2015 did not affect vessel speeds once changes in macroeconomic conditions are accounted for.
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