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Documents authored by Rheingans, Penny

Document
DOI: 10.4230/DagRep.8.1.100
Foundations of Data Visualization (Dagstuhl Seminar 18041)

Authors: Helwig Hauser, Penny Rheingans, and Gerik Scheuermann

Published in: Dagstuhl Reports, Volume 8, Issue 1 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 18041 "Foundations of Data Visualization". It includes a discussion of the motivation and overall organization, an abstract from each of the participants, and a report about each of the working groups.
Cite as

Helwig Hauser, Penny Rheingans, and Gerik Scheuermann. Foundations of Data Visualization (Dagstuhl Seminar 18041). In Dagstuhl Reports, Volume 8, Issue 1, pp. 100-123, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{hauser_et_al:DagRep.8.1.100,
  author =	{Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik},
  title =	{{Foundations of Data Visualization (Dagstuhl Seminar 18041)}},
  pages =	{100--123},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{1},
  editor =	{Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.1.100},
  URN =		{urn:nbn:de:0030-drops-92853},
  doi =		{10.4230/DagRep.8.1.100},
  annote =	{Keywords: Foundations, Interdisciplinary Cooperation, Theory, Visualization}
}
Document
DOI: 10.4230/DagRep.4.6.1
Scientific Visualization (Dagstuhl Seminar 14231)

Authors: Min Chen, Charles D. Hansen, Penny Rheingans, and Gerik Scheuermann

Published in: Dagstuhl Reports, Volume 4, Issue 6 (2015)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14231 "Scientific Visualization". It includes a discussion of the motivation and overall organization, an abstract from each of the participants, and a report from each of the working groups.
Cite as

Min Chen, Charles D. Hansen, Penny Rheingans, and Gerik Scheuermann. Scientific Visualization (Dagstuhl Seminar 14231). In Dagstuhl Reports, Volume 4, Issue 6, pp. 1-28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{chen_et_al:DagRep.4.6.1,
  author =	{Chen, Min and Hansen, Charles D. and Rheingans, Penny and Scheuermann, Gerik},
  title =	{{Scientific Visualization (Dagstuhl Seminar 14231)}},
  pages =	{1--28},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{6},
  editor =	{Chen, Min and Hansen, Charles D. and Rheingans, Penny and Scheuermann, Gerik},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.4.6.1},
  URN =		{urn:nbn:de:0030-drops-46821},
  doi =		{10.4230/DagRep.4.6.1},
  annote =	{Keywords: data visualization, multi-fields, uncertainty, environmental visualization}
}
Document
DOI: 10.4230/DFU.Vol2.SciViz.2011.311
Visualizing Spatial Partitions

Authors: Penny Rheingans, Blazej Bulka, and Marie desJardins

Published in: Dagstuhl Follow-Ups, Volume 2, Scientific Visualization: Interactions, Features, Metaphors (2011)

Abstract
We describe an application of geospatial visualization and AI search techniques to the problem of school redistricting, in which students are assigned to home schools within a county or school district. This is a multicriteria optimization problem in which competing objectives must be considered, such as school capacity, busing costs, and socioeconomic distribution. Additionally, school assignments need to be made for three different levels (elementary, middle, and high school) in a way which allows children to move from one school to the next with a cohort of sufficient size. Because of the complexity of the decision-making problem, tools are needed to help end users generate, evaluate, and compare alternative school assignment plans. A key goal of our research is to aid users in finding multiple qualitatively different redistricting plans that represent different tradeoffs in the decision space. We present visualization techniques which can be used to visualize the quality of spatial partititioning plans, compare the alternatives presented by different plans, and understand the interrelationships of plans at different educational levels. We demonstrate these techniques on partitions created through both manual construction and intelligient search processes for the population data of the school district of Howard County, Maryland.
Cite as

Penny Rheingans, Blazej Bulka, and Marie desJardins. Visualizing Spatial Partitions. In Scientific Visualization: Interactions, Features, Metaphors. Dagstuhl Follow-Ups, Volume 2, pp. 311-321, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InCollection{rheingans_et_al:DFU.Vol2.SciViz.2011.311,
  author =	{Rheingans, Penny and Bulka, Blazej and desJardins, Marie},
  title =	{{Visualizing Spatial Partitions}},
  booktitle =	{Scientific Visualization: Interactions, Features, Metaphors},
  pages =	{311--321},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-26-2},
  ISSN =	{1868-8977},
  year =	{2011},
  volume =	{2},
  editor =	{Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol2.SciViz.2011.311},
  URN =		{urn:nbn:de:0030-drops-33006},
  doi =		{10.4230/DFU.Vol2.SciViz.2011.311},
  annote =	{Keywords: geospatial visualization, heuristic search, color mapping, multivariate visualization}
}
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