Information
- Publication Type: Journal Paper with Conference Talk
- Workgroup(s)/Project(s):
- Date: 2016
- Journal: Computer Graphics Forum
- Volume: 35
- Number: 3
- Location: Gronningen, The Netherlands
- Lecturer: Daniel Cornel
- Event: EuroVis 2016
- Pages: 461 – 470
Abstract
Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.
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BibTeX
@article{Cornel2016CFM,
title = "Composite Flow Maps",
author = "Daniel Cornel and Artem Konev and Berhard Sadransky and
Zsolt Horvath and Andrea Brambilla and Ivan Viola and
J\"{u}rgen Waser",
year = "2016",
abstract = "Flow maps are widely used to provide an overview of
geospatial transportation data. Existing solutions lack the
support for the interactive exploration of multiple flow
components at once. Flow components are given by different
materials being transported, different flow directions, or
by the need for comparing alternative scenarios. In this
paper, we combine flows as individual ribbons in one
composite flow map. The presented approach can handle an
arbitrary number of sources and sinks. To avoid visual
clutter, we simplify our flow maps based on a force-driven
algorithm, accounting for restrictions with respect to
application semantics. The goal is to preserve important
characteristics of the geospatial context. This feature also
enables us to highlight relevant spatial information on top
of the flow map such as traffic conditions or accessibility.
The flow map is computed on the basis of flows between
zones. We describe a method for auto-deriving zones from
geospatial data according to application requirements. We
demonstrate the method in real-world applications, including
transportation logistics, evacuation procedures, and water
simulation. Our results are evaluated with experts from
corresponding fields.",
journal = "Computer Graphics Forum",
volume = "35",
number = "3",
pages = "461--470",
URL = "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/",
}