EnvirVis17

Permanent URI for this collection

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

Browse

Browsing EnvirVis17 by Subject "I.3.8 [Computer Graphics]"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    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.