@INPROCEEDINGS {Stoppel-2016-GIR,
author = "Sergej Stoppel and Erlend Hodneland and Helwig Hauser and Stefan Bruckner",
title = "Graxels: Information Rich Primitives for the Visualization of Time-Dependent Spatial Data",
booktitle = "Proceedings of VCBM 2016",
year = "2016",
pages = "183--192",
month = "sep",
abstract = "Time-dependent volumetric data has important applications in areas  as diverse as medicine, climatology, and engineering. However, the  simultaneous quantitative assessment of spatial and temporal features  is very challenging. Common visualization techniques show either  the whole volume in one time step (for example using direct volume  rendering) or let the user select a region of interest (ROI) for  which a collection of time-intensity curves is shown. In this paper,  we propose a novel approach that dynamically embeds quantitative  detail views in a spatial layout. Inspired by the concept of small  multiples, we introduce a new primitive graxel (graph pixel). Graxels  are view dependent primitives of time-intensity graphs, generated  on-the-fly by aggregating per-ray information over time and image  regions. Our method enables the detailed feature-aligned visual analysis  of time-dependent volume data and allows interactive refinement and  filtering. Temporal behaviors like frequency relations, aperiodic  or periodic oscillations and their spatial context are easily perceived  with our method. We demonstrate the power of our approach using examples  from medicine and the natural sciences.",
pdf = "pdfs/Stoppel-2016-GIR.pdf",
images = "images/Stoppel-2016-GIR.jpg",
thumbnails = "images/Stoppel-2016-GIR.png",
youtube = "https://www.youtube.com/watch?v=UsClj3ytd0Y",
doi = "10.2312/vcbm.20161286",
event = "VCBM 2016",
keywords = "time-dependent data, volume data, small multiples",
location = "Bergen, Norway"
}