Interactive Visualization of Massive Location Data using Multi-Scale Trajectories

Simple item page
dc.contributor.authorBodt, Thomas Deen_US
dc.contributor.authorAdams, Barten_US
dc.contributor.authorAerts, Janen_US
dc.contributor.editorAnna Puig Puig and Tobias Isenbergen_US
dc.date.accessioned2017-06-12T05:17:58Z
dc.date.available2017-06-12T05:17:58Z
dc.date.issued2017
dc.description.abstractToday location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a challenge. Especially when one wants to work interactively at both overview and detail scales. We present a scalable approach to visualize such data by treating it as a set of trajectories simplified at different error rates. When combined with tiling and GPU-based visualization, we can interactively and visually analyze a dataset of 1 billion position records on a workstation.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2017 - Posters
dc.identifier.doi10.2312/eurp.20171170
dc.identifier.isbn978-3-03868-044-4
dc.identifier.pages65-67
dc.identifier.urihttps://doi.org/10.2312/eurp.20171170
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20171170
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.5 [Computer Graphics]
dc.subjectComputational Geometry and Object Modeling
dc.subjectHierarchy and geometric transformations
dc.titleInteractive Visualization of Massive Location Data using Multi-Scale Trajectoriesen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
065-067.pdf
Size:
1.57 MB
Format:
Adobe Portable Document Format
Download
Collections
EuroVisPosters2017