EnvirVis17

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https://diglib.eg.org/handle/10.2312/2631434

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Browsing EnvirVis17 by Subject "Applications"

Now showing 1 - 3 of 3
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    An InteractiveWeb-based Doppler Wind Lidar Visualisation System
    (The Eurographics Association, 2017) Jerome, Nicholas Tan; Chilingaryan, Suren; Kopmann, Andreas; Wieser, Andreas; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    With Doppler wind lidar producing significant amounts of data, providing means to extract relevant information from the data that describes atmospheric phenomena such as rain and low-level clouds is of vital importance. However, a Doppler wind lidar with a 10 Hz sampling rate produces large-scale of data at approximately ten million data items per day; therefore, introducing challenges in perceptual and interactive scalability. We present an interactive web-based visualisation system that provides summary displays of the heterogeneous lidar data. Our system applies the client-server paradigm, where our server extracts information and encodes primary lidar attributes into image's colour channels. Then, we load these encoded images and show lidar data in multiple forms at the client-side. In contrast to script-based tools such as Matlab and Ferret, our system allows researchers to begin analysing the extensive data using a more top-down methodological approach. In particular, we implemented features like zooming, multivariate filtering, and hourly variance heat map, in which GPU shaders filter data according to specific attributes. With the encoded images readily stored at the server, researchers can browse through the vast amounts of data interactively.
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    Multivariate Visualization of Oceanography Data Using Decals
    (The Eurographics Association, 2017) Rocha, Allan; Silva, Julio Daniel; Alim, Usman; Sousa, Mario Costa; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    In this paper, we present our results on the 2016 Compute Canada Visualization Contest, which centers around the visualization of multiple oceanographic data attributes. Our goal is to help researchers better understand the correlation between these attributes by providing an integrated data visualization. To accomplish this goal, we combine decals and colormaps in a layered fashion over temperature isosurfaces extracted from an oceanography model. We describe how decals can be deformed and animated over isosurfaces to convey the sense of flow given by the ocean currents. Our visualization design focuses on addressing requirements from experts, tailored for such datasets. The results highlight the potential of our approach towards accessing the tridimensional multivariate nature of such complex data.
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    Visual Characterisation of Temporal Occupancy for Movement Ecology
    (The Eurographics Association, 2017) Slingsby, Aidan; Loon, Emiel van; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    Movement ecologists study aspects of animals' movement, behaviour, and the factors that might drive these. Temporal patterns of local occupancy often reveal the type of usage at a location. We present and apply temporal tile-maps that embed temporal visual encodings into cartographic representations, and do so in an interactive visual analysis context. This reveals spatial variation in temporal occupancy that allows places to be identified and distinguished according to their use by animals. We apply these to GPS data from tracking gulls and illustrate the application to movement ecology. The tool that implements this and data are available to download and use.