2017
Samsel, Francesca; Turton, Terece; Wolfram, Phillip; Bujack, Roxana
Intuitive Colormaps for Environmental Visualization Proceedings Article
In: Rink, Karsten; Middel, Ariane; Zeckzer, Dirk; Bujack, Roxana (Ed.): Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2017, ISBN: 978-3-03868-040-6, (LA-UR-17-22224).
Abstract | Links | BibTeX | Tags: colormaps, environmental sciences
@inproceedings{info:lanl-repo/lareport/LA-UR-17-22224,
title = {Intuitive Colormaps for Environmental Visualization},
author = {Francesca Samsel and Terece Turton and Phillip Wolfram and Roxana Bujack},
editor = {Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/IntuitiveColormapsforEnvironmentalVisualization.pdf},
doi = {10.2312/envirvis.20171105},
isbn = {978-3-03868-040-6},
year = {2017},
date = {2017-03-16},
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
publisher = {The Eurographics Association},
abstract = {Visualizations benefit from the use of intuitive colors, enabling an observer to make use of more automatic, subconscious channels. In this paper, we apply the concept of intuitive color to the generation of thematic colormaps for the environmental sciences. In particular, we provide custom sets of colormaps for water, atmosphere, land, and vegetation. These have been integrated into the online tool: ColorMoves: The Environment to enable the environmental scientist to tailor them precisely to the data and tasks in a simple drag-and-drop workflow.},
howpublished = {EnvirVis ; 2017-06-12 - 2017-06-13 ; Barcelona, Spain},
note = {LA-UR-17-22224},
keywords = {colormaps, environmental sciences},
pubstate = {published},
tppubtype = {inproceedings}
}
Visualizations benefit from the use of intuitive colors, enabling an observer to make use of more automatic, subconscious channels. In this paper, we apply the concept of intuitive color to the generation of thematic colormaps for the environmental sciences. In particular, we provide custom sets of colormaps for water, atmosphere, land, and vegetation. These have been integrated into the online tool: ColorMoves: The Environment to enable the environmental scientist to tailor them precisely to the data and tasks in a simple drag-and-drop workflow.
2010
Hsu, Chung-Hsing; Ahrens, James; Heitmann, Katrin
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization Proceedings Article
In: Pacific Visualization Symposium (PacificVis), 2010 IEEE, pp. 81–88, IEEE 2010, (LA-UR-09-08278).
Abstract | Links | BibTeX | Tags: environmental sciences, Space, Visual Evidence; Feature Detection and Tracking, Visualization in Earth
@inproceedings{hsu2010verification,
title = {Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization},
author = {Chung-Hsing Hsu and James Ahrens and Katrin Heitmann},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/VerificationOfTheTimeEvolutionOfCosmologicalSimulationsViaHyphothesis-DrivenComparativeAndQuantitativeVisualization.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Pacific Visualization Symposium (PacificVis), 2010 IEEE},
pages = {81--88},
organization = {IEEE},
abstract = {We describe a visualization-assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in simulation results and understand their dependence on input parameter settings. Our verification process consists of the integration of iterative hypothesis-verification with comparative, feature and quantitative visualization. We validate this process by verifying the time evolution results of three different cosmology simulation codes. The purpose of this verification is to study the accuracy of AMR methods versus other N-body simulation methods for cosmological simulations.},
note = {LA-UR-09-08278},
keywords = {environmental sciences, Space, Visual Evidence; Feature Detection and Tracking, Visualization in Earth},
pubstate = {published},
tppubtype = {inproceedings}
}
We describe a visualization-assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in simulation results and understand their dependence on input parameter settings. Our verification process consists of the integration of iterative hypothesis-verification with comparative, feature and quantitative visualization. We validate this process by verifying the time evolution results of three different cosmology simulation codes. The purpose of this verification is to study the accuracy of AMR methods versus other N-body simulation methods for cosmological simulations.
: . .
1.
Samsel, Francesca; Turton, Terece; Wolfram, Phillip; Bujack, Roxana
Intuitive Colormaps for Environmental Visualization Proceedings Article
In: Rink, Karsten; Middel, Ariane; Zeckzer, Dirk; Bujack, Roxana (Ed.): Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2017, ISBN: 978-3-03868-040-6, (LA-UR-17-22224).
@inproceedings{info:lanl-repo/lareport/LA-UR-17-22224,
title = {Intuitive Colormaps for Environmental Visualization},
author = {Francesca Samsel and Terece Turton and Phillip Wolfram and Roxana Bujack},
editor = {Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack},
url = {http://datascience.dsscale.org/wp-content/uploads/2017/08/IntuitiveColormapsforEnvironmentalVisualization.pdf},
doi = {10.2312/envirvis.20171105},
isbn = {978-3-03868-040-6},
year = {2017},
date = {2017-03-16},
booktitle = {Workshop on Visualisation in Environmental Sciences (EnvirVis)},
publisher = {The Eurographics Association},
abstract = {Visualizations benefit from the use of intuitive colors, enabling an observer to make use of more automatic, subconscious channels. In this paper, we apply the concept of intuitive color to the generation of thematic colormaps for the environmental sciences. In particular, we provide custom sets of colormaps for water, atmosphere, land, and vegetation. These have been integrated into the online tool: ColorMoves: The Environment to enable the environmental scientist to tailor them precisely to the data and tasks in a simple drag-and-drop workflow.},
howpublished = {EnvirVis ; 2017-06-12 - 2017-06-13 ; Barcelona, Spain},
note = {LA-UR-17-22224},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Visualizations benefit from the use of intuitive colors, enabling an observer to make use of more automatic, subconscious channels. In this paper, we apply the concept of intuitive color to the generation of thematic colormaps for the environmental sciences. In particular, we provide custom sets of colormaps for water, atmosphere, land, and vegetation. These have been integrated into the online tool: ColorMoves: The Environment to enable the environmental scientist to tailor them precisely to the data and tasks in a simple drag-and-drop workflow.
2.
Hsu, Chung-Hsing; Ahrens, James; Heitmann, Katrin
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization Proceedings Article
In: Pacific Visualization Symposium (PacificVis), 2010 IEEE, pp. 81–88, IEEE 2010, (LA-UR-09-08278).
@inproceedings{hsu2010verification,
title = {Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization},
author = {Chung-Hsing Hsu and James Ahrens and Katrin Heitmann},
url = {http://datascience.dsscale.org/wp-content/uploads/2016/06/VerificationOfTheTimeEvolutionOfCosmologicalSimulationsViaHyphothesis-DrivenComparativeAndQuantitativeVisualization.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Pacific Visualization Symposium (PacificVis), 2010 IEEE},
pages = {81--88},
organization = {IEEE},
abstract = {We describe a visualization-assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in simulation results and understand their dependence on input parameter settings. Our verification process consists of the integration of iterative hypothesis-verification with comparative, feature and quantitative visualization. We validate this process by verifying the time evolution results of three different cosmology simulation codes. The purpose of this verification is to study the accuracy of AMR methods versus other N-body simulation methods for cosmological simulations.},
note = {LA-UR-09-08278},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We describe a visualization-assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in simulation results and understand their dependence on input parameter settings. Our verification process consists of the integration of iterative hypothesis-verification with comparative, feature and quantitative visualization. We validate this process by verifying the time evolution results of three different cosmology simulation codes. The purpose of this verification is to study the accuracy of AMR methods versus other N-body simulation methods for cosmological simulations.