@InProceedings{WongOlivMing:2013:MuPrEx,
author = "Wong, Christian and Oliveira, Maria Cristina F. and Minghim,
Rosane",
affiliation = "{Instituto de Ciencias Matem{\^a}ticas e de
Computa{\c{c}}{\~a}o} and {Instituto de Ciencias
Matem{\^a}ticas e de Computa{\c{c}}{\~a}o} and {Instituto de
Ciencias Matem{\^a}ticas e de Computa{\c{c}}{\~a}o}",
title = "Multidimensional projections to explore time-varying multivariate
volume data",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Visualization, scientific visualization, multidimensional
projections, exploratory volume visualization.",
abstract = "Multidimensional Projections (MPs) have become popular as visual
data analysis tools in several application domains, including
Scientific Visualization. Current techniques are fast, precise and
capable of handling local and global data features, having
successfully supported spatial and abstract data visualizations.
However, two major shortcomings hinder their application for
exploratory analysis of time-varying multivariate volumetric data.
Current techniques lack visual coherence when applied to data
collected across consecutive time stamps and offer little support
to investigating attribute-specific questions. Both are relevant
properties when analysing time varying volumes. In this paper we
revisit projection methods from this perspective and introduce
modifications into two existing high-performance techniques to
ensure temporal coherence. We also propose a hybrid visualization
strategy that can assist users investigating the role of a
specific attribute on data behavior through time. We illustrate
how our approaches enhance projection-based visual exploration of
time-varying multivariate volume data with their application to
data sets from three distinct simulations, made available for
editions of the IEEE Visualization Contest.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.24",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.24",
language = "en",
ibi = "8JMKD3MGPBW34M/3EEG6F8",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EEG6F8",
targetfile = "paper114545_camera-ready.pdf",
urlaccessdate = "2024, Apr. 28"
}