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[SIG+05]  Pointillist and Glyph-Based Visualization of Nanoparticles in Formation

Saunders:2005:PGB (In proceedings)
Author(s)Saunders P.C., Interrante V. and Garrick S.
Title« Pointillist and Glyph-Based Visualization of Nanoparticles in Formation »
InData Visualization 2005: Proceedings of the Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2005, June 1--3, 2005, Leeds, England, UK)
SeriesEurographics Workshop Series
Editor(s)Ken W. Brodlie and David J. Duke and Kenneth I. Joy
Page(s)169--176
Year2005
PublisherEurographics Association
AddressAire-la-Ville, Switzerland
Editor(s)Ken W. Brodlie and David J. Duke and Kenneth I. Joy

Abstract
In this paper we offer new, texture-based methods for the visualization of multivariate data. These methods aim to more effectively convey the results of calculations simulating the formation of nanoparticles in turbulent flows. In these simulations, an entire distribution of nanoparticles is computed at every point across a two-dimensional slice of the data space, for every time step. Previous visualization methods have relied on multiple separate images to convey summary statistics about the datasets, including mean diameter and standard deviation of particle sizes. We introduce new methods based on texture which aim to enable the integrated understanding of the entire distribution of values at each point across the domain in terms of both summary statistics at each point and particle counts for various sizes of particles. Pointillism is used to represent the data at each point across the data range as a high-resolution texture. Circular glyphs can also be used to form a more discrete, spot-based texture, in which different characteristics of the distribution are encoded in various features of the spots.

BibTeX code
@inproceedings{Saunders:2005:PGB,
  optnote = {},
  optorganization = {},
  author = {Saunders, Patrick Coleman and Victoria Interrante and Sean C.
            Garrick},
  optkey = {},
  series = {Eurographics Workshop Series},
  optannote = {},
  editor = {Ken W. Brodlie and David J. Duke and Kenneth I. Joy},
  address = {Aire-la-Ville, Switzerland},
  localfile = {papers/Saunders.2005.PGB.pdf},
  publisher = {Eurographics Association},
  doi = {http://dx.doi.org/10.2312/VisSym/EuroVis05/169-176},
  optmonth = {},
  optcrossref = {},
  booktitle = {Data Visualization 2005: Proceedings of the Eurographics\,/\,IEEE
               VGTC Symposium on Visualization (EuroVis~2005, June 1--3, 2005,
               Leeds, England, UK)},
  optvolume = {},
  optnumber = {},
  abstract = {In this paper we offer new, texture-based methods for the
              visualization of multivariate data. These methods aim to more
              effectively convey the results of calculations simulating the
              formation of nanoparticles in turbulent flows. In these
              simulations, an entire distribution of nanoparticles is computed
              at every point across a two-dimensional slice of the data space,
              for every time step. Previous visualization methods have relied on
              multiple separate images to convey summary statistics about the
              datasets, including mean diameter and standard deviation of
              particle sizes. We introduce new methods based on texture which
              aim to enable the integrated understanding of the entire
              distribution of values at each point across the domain in terms of
              both summary statistics at each point and particle counts for
              various sizes of particles. Pointillism is used to represent the
              data at each point across the data range as a high-resolution
              texture. Circular glyphs can also be used to form a more discrete,
              spot-based texture, in which different characteristics of the
              distribution are encoded in various features of the spots.},
  title = {{P}ointillist and {G}lyph-{B}ased {V}isualization of {N}anoparticles
           in {F}ormation},
  year = {2005},
  pages = {169--176},
}

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