English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data

Sauber, N., Theisel, H., & Seidel, H.-P. (2006). Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data. In IEEE Visualization Conference 2006 (pp. 917-924). Los Alamitos, USA: IEEE.

Item is

Files

show Files
hide Files
:
multifield_graph.pdf (Any fulltext), 5MB
 
File Permalink:
-
Name:
multifield_graph.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Sauber, Natascha1, Author           
Theisel, Holger1, Author           
Seidel, Hans-Peter1, Author           
Gröller, Eduard, Editor
Pang, Alex, Editor
Silva, Claudio T., Editor
Stasko, John, Editor
van Wijk, Jarke, Editor
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

Content

show
hide
Free keywords: -
 Abstract: We present an approach to visualizing correlations in 3D multifield scalar data. The core of our approach is the computation of correlation fields, which are scalar fields containing the local correlations of subsets of the multiple fields. While the visualization of the correlation fields can be done using standard 3D volume visualization techniques, their huge number makes selection and handling a challenge. We introduce the Multifield-Graph to give an overview of which multiple fields correlate and to show the strength of their correlation. This information guides the selection of informative correlation fields for visualization. We use our approach to visually analyze a number of real and synthetic multifield datasets.

Details

show
hide
Language(s): eng - English
 Dates: 2007-04-042006
 Publication Status: Issued
 Pages: -
 Publishing info: Los Alamitos, USA : IEEE
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314498
Other: Local-ID: C125675300671F7B-3E172BCA04A69760C12571B00064B001-sauber2005
 Degree: -

Event

show
hide
Title: Untitled Event
Place of Event: Baltimore, USA
Start-/End Date: 2006-10-29

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE Visualization Conference 2006
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 917 - 924 Identifier: -

Source 2

show
hide
Title: IEEE Visualization
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1077-2626