EnvirVis19

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2632782
Porto, Portugal 3 June 2019
Table of Contents
Weather and Climate
On Inconvenient Images: Exploring the Design Space of Engaging Climate Change Visualizations for Public Audiences
[full paper Image] [meta data Image]
Florian Windhager, Günther Schreder, and Eva Mayr
Topology-based Feature Detection in Climate Data
[full paper Image] [meta data Image]
Christopher P. Kappe, Michael Böttinger, and Heike Leitte
Lakes and Oceans
Leveraging Lagrangian Analysis for Discriminating Nutrient Origins
[full paper Image] [meta data Image]
Soumya Dutta, Riley X. Brady, Mathew E. Maltrud, Philip J. Wolfram, and Roxana Bujack
RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea
[full paper Image] [meta data Image]
Shehzad Afzal, Sohaib Ghani, Garth Tissington, Sabique Langodan, Hari Prasad Dasari, Dionysios Raitsos, John Gittings, Tahira Jamil, Madhusudhanan Srinivasan, and Ibrahim Hoteit
Ecosphere and Infrastructure
SOAViz: Visualization for Portable X-ray Fluorescence Soil Profiles
[full paper Image] [meta data Image]
Vung Pham and Tommy Dang
Visual Exploration of the European Red List
[full paper Image] [meta data Image]
Stefan Jänicke

BibTeX (EnvirVis19)
@inproceedings{
10.2312:envirvis.20191098,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
On Inconvenient Images: Exploring the Design Space of Engaging Climate Change Visualizations for Public Audiences}},

author = {
Windhager, Florian
 and 
Schreder, Günther
 and 
Mayr, Eva
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191098}

}
@inproceedings{
10.2312:envirvis.20191099,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
Topology-based Feature Detection in Climate Data}},

author = {
Kappe, Christopher P.
 and 
Böttinger, Michael
 and 
Leitte, Heike
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191099}

}
@inproceedings{
10.2312:envirvis.20191100,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
Leveraging Lagrangian Analysis for Discriminating Nutrient Origins}},

author = {
Dutta, Soumya
 and 
Brady, Riley X.
 and 
Maltrud, Mathew E.
 and 
Wolfram, Philip J.
 and 
Bujack, Roxana
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191100}

}
@inproceedings{
10.2312:envirvis.20191101,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea}},

author = {
Afzal, Shehzad
 and 
Ghani, Sohaib
 and 
Tissington, Garth
 and 
Langodan, Sabique
 and 
Dasari, Hari Prasad
 and 
Raitsos, Dionysios
 and 
Gittings, John
 and 
Jamil, Tahira
 and 
Srinivasan, Madhusudhanan
 and 
Hoteit, Ibrahim
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191101}

}
@inproceedings{
10.2312:envirvis.20191103,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
Visual Exploration of the European Red List}},

author = {
Jänicke, Stefan
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191103}

}
@inproceedings{
10.2312:envirvis.20191102,

booktitle = {
Workshop on Visualisation in Environmental Sciences (EnvirVis)},

editor = {
Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
},
title = {{
SOAViz: Visualization for Portable X-ray Fluorescence Soil Profiles}},

author = {
Pham, Vung
 and 
Dang, Tommy
},
year = {
2019},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-086-4},

DOI = {
10.2312/envirvis.20191102}

}

Browse

Recent Submissions

Now showing 1 - 7 of 7
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    EnvirVis 2019: Frontmatter
    (The Eurographics Association, 2019) Bujack, Roxana; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
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    On Inconvenient Images: Exploring the Design Space of Engaging Climate Change Visualizations for Public Audiences
    (The Eurographics Association, 2019) Windhager, Florian; Schreder, Günther; Mayr, Eva; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    If there ever was a model theme for information visualization, climate change arguably checks all the boxes. Omnipresent and relevant, yet abstract and statistical by nature, as well as invisible for the naked eye - climate change is a subject matter in need for perception and cognition support par excellence. Consequently, a large number of data journalists and science communicators utilize visual representations of climate change data to provide (a) information, and to (b) raise consciousness and encourage behavioral adaptation. Multiple design strategies have been developed to make the complex (non-)phenomenon accessible for visual perception and reasoning of public audiences. Despite of its obvious societal relevance, the visualization community has not had a systematic look at this nascent application field until now. With this paper we aim to close this gap and survey climate change visualizations to explore their design space. With specific regard to visualizations geared to inform non-expert users in the context of journalism and science communication, we analyze a sample of representations to document design choices and communication strategies, including options of persuasive and engaging design.
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    Topology-based Feature Detection in Climate Data
    (The Eurographics Association, 2019) Kappe, Christopher P.; Böttinger, Michael; Leitte, Heike; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    The weather and climate research community needs to analyze increasingly large datasets, mostly obtained by observations or produced by simulations. Ensemble simulation techniques, which are used to capture uncertainty, add a further dimension to the multivariate time-dependent 3D data, even tightening the challenge of finding relevant information in the data for answering the respective research questions. In this paper we propose a topology-based method to support the visual analysis of climate data by detecting regions with particularly strong local minima or maxima and highlighting them with colored contours. Combined with preceding clustering of the data fields, typical spatial patterns characterizing the climate variability are detected and visualized. We demonstrate the utility of our method with a study of global temperature anomalies of a 150-years ensemble simulation consisting of 100 members.
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    Leveraging Lagrangian Analysis for Discriminating Nutrient Origins
    (The Eurographics Association, 2019) Dutta, Soumya; Brady, Riley X.; Maltrud, Mathew E.; Wolfram, Philip J.; Bujack, Roxana; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    Understanding the origins of nutrients, e.g., nitrate, in ocean water is essential to develop an effective mariculture technique for free-floating macroalgae, which presents a potential solution to provide an alternative source of domestic renewable fuels to help reduce carbon emissions from automobiles. To study this problem, scientists simulate large-scale computational simulations with coupled flow and nutrient information. Since running the simulation multiple times is expensive, the scientists want to have efficient visual-analytic techniques that can analyze and visualize the simulation output quickly to investigate the reasons behind the existence of nitrate in different areas of ocean water. To address these needs, a mixed Lagrangian and Eulerianbased analysis technique is developed that leverages traditional Lagrangian analysis methods and fuses Eulerian information with it to comprehend the origins of nutrients in the water. The proposed method yielded promising results for the application scientists and positive feedback from them demonstrates the efficacy of the technique.
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    RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea
    (The Eurographics Association, 2019) Afzal, Shehzad; Ghani, Sohaib; Tissington, Garth; Langodan, Sabique; Dasari, Hari Prasad; Raitsos, Dionysios; Gittings, John; Jamil, Tahira; Srinivasan, Madhusudhanan; Hoteit, Ibrahim; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    Interactive visualizations play an essential role in supporting the analysis tasks of ocean and atmospheric scientists working on a variety of simulation models and observational datasets. Designing visual analytics systems intended for addressing problems in the ocean and atmospheric domain require careful task analysis of the requirements of domain experts and scientists, and understanding their analysis workflows. This paper explores the design of a visual analytics tool (RedSeaAtlas) based on meetings and interviews with domain experts working on diverse research problems that involve analyzing spatio-temporal multivariate datasets of the Red Sea region, to understand their task requirements. This kind of visual analytics tool has widespread applications in areas, such as navigational guidance of marine vessels, fisheries operations, environmental impact assessments, coastal development, renewable energy, risk management, policy making, etc. We provide expert evaluation of this tool based on different case studies targeting some of these application areas. We also discuss the challenges associated with the use of varying visualization tools in the ocean and atmospheric community, focusing on aspects related to visualization research.
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    Visual Exploration of the European Red List
    (The Eurographics Association, 2019) Jänicke, Stefan; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    The European Red List gives an overview of animal and plant species that are threatened with extinction at the European level. Currently, only prefabricated charts and standard mapping tools are provided to analyze the statuses of threatened species in a visual form. This paper provides a series of visual interfaces that support the construction of dynamic queries, thus, offering new capabilities to investigate geospatial, species-related features and developments. The major goals are to better inform the broad public on the contents of the European Red List, and to improve the capabilities of biodiversity researchers in developing target-oriented conservation strategies.
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    SOAViz: Visualization for Portable X-ray Fluorescence Soil Profiles
    (The Eurographics Association, 2019) Pham, Vung; Dang, Tommy; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    The soil is an essential element of life. It is where people grow plants for food, fibers, and other materials. It also helps to filter water and recycles wastes. Therefore, understanding soil physical/chemical characteristics and structural aggregation are of vital importance. In this project, we work closely with the soil scientists to develop a visualization solution to the rapidly gaining favor approach to soil horizon analysis using Portable X-ray Fluorescence (pXRF) devices. Our visualization, called SOAViz, aims to provide soil scientists with rapid valuable insights into soil properties both visually perceptible with graphs and imperceptible quantification features with statistical calculations from the data collected from pXRF equipment. SOAViz was developed with analysis tasks solicited from the soil scientists and validated by applying to real soil profiles collected in an Experimental Rangeland in Lubbock, TX, USA. This visual solution together with the quick scanning results from pXRF devices offers a timely means of quantifying elemental concentrations in the soil horizons in large scale at a reduced cost.