EnvirVis17

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2631434
Barcelona, Spain, 12 - 13 June 2017
Table of Contents
Session 1
Setting up Virtual Geographic Environments in Unity
[full paper Image] [meta data Image]
Karsten Rink, Lars Bilke, and Olaf Kolditz
An InteractiveWeb-based Doppler Wind Lidar Visualisation System
[full paper Image] [meta data Image]
Nicholas Tan Jerome, Suren Chilingaryan, Andreas Kopmann, and Andreas Wieser
Visual Characterisation of Temporal Occupancy for Movement Ecology
[full paper Image] [meta data Image]
Aidan Slingsby and Emiel van Loon
Session 2
Visual Study of the Benguela Upwelling System using Pathline Predicates
[full paper Image] [meta data Image]
Pascal Nardini, Michael Böttinger, Gerik Scheuermann, and Martin Schmidt
Visual Eddy Analysis of the Agulhas Current
[full paper Image] [meta data Image]
Felix Raith, Niklas Röber, Helmuth Haak, and Gerik Scheuermann
Multivariate Visualization of Oceanography Data Using Decals
[full paper Image] [meta data Image]
Allan Rocha, Julio Daniel Silva, Usman Alim, and Mario Costa Sousa
STOAViz: Visualizing Saturated Thickness of Ogallala Aquifer
[full paper Image] [meta data Image]
Tommy Dang, Long Hoang Nguyen, Abdullah Karim, and Venki Uddameri
Session 3
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments
[full paper Image] [meta data Image]
Divya Banesh, Joseph A. Schoonover, James P. Ahrens, and Bernd Hamann
Video Compression for Ocean Simulation Image Databases
[full paper Image] [meta data Image]
Anne S. Berres, Terece L. Turton, Mark Petersen, David H. Rogers, and James P. Ahrens
Intuitive Colormaps for Environmental Visualization
[full paper Image] [meta data Image]
Francesca Samsel, Terece L. Turton, Philip Wolfram, and Roxana Bujack

BibTeX (EnvirVis17)
@inproceedings{
10.2312:envirvis.20171096,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Setting up Virtual Geographic Environments in Unity}},

author = {
Rink, Karsten
 and 
Bilke, Lars
 and 
Kolditz, Olaf
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171096}

}
@inproceedings{
10.2312:envirvis.20171098,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Visual Characterisation of Temporal Occupancy for Movement Ecology}},

author = {
Slingsby, Aidan
 and 
Loon, Emiel van
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171098}

}
@inproceedings{
10.2312:envirvis.20171097,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
An InteractiveWeb-based Doppler Wind Lidar Visualisation System}},

author = {
Jerome, Nicholas Tan
 and 
Chilingaryan, Suren
 and 
Kopmann, Andreas
 and 
Wieser, Andreas
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171097}

}
@inproceedings{
10.2312:envirvis.20171099,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Visual Study of the Benguela Upwelling System using Pathline Predicates}},

author = {
Nardini, Pascal
 and 
Böttinger, Michael
 and 
Scheuermann, Gerik
 and 
Schmidt, Martin
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171099}

}
@inproceedings{
10.2312:envirvis.20171100,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Visual Eddy Analysis of the Agulhas Current}},

author = {
Raith, Felix
 and 
Röber, Niklas
 and 
Haak, Helmuth
 and 
Scheuermann, Gerik
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171100}

}
@inproceedings{
10.2312:envirvis.20171101,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Multivariate Visualization of Oceanography Data Using Decals}},

author = {
Rocha, Allan
 and 
Silva, Julio Daniel
 and 
Alim, Usman
 and 
Sousa, Mario Costa
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171101}

}
@inproceedings{
10.2312:envirvis.20171102,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
STOAViz: Visualizing Saturated Thickness of Ogallala Aquifer}},

author = {
Dang, Tommy
 and 
Nguyen, Long Hoang
 and 
Karim, Abdullah
 and 
Uddameri, Venki
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171102}

}
@inproceedings{
10.2312:envirvis.20171103,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments}},

author = {
Banesh, Divya
 and 
Schoonover, Joseph A.
 and 
Ahrens, James P.
 and 
Hamann, Bernd
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171103}

}
@inproceedings{
10.2312:envirvis.20171104,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Video Compression for Ocean Simulation Image Databases}},

author = {
Berres, Anne S.
 and 
Turton, Terece L.
 and 
Petersen, Mark
 and 
Rogers, David H.
 and 
Ahrens, James P.
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171104}

}
@inproceedings{
10.2312:envirvis.20171105,

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

editor = {
Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
},
title = {{
Intuitive Colormaps for Environmental Visualization}},

author = {
Samsel, Francesca
 and 
Turton, Terece L.
 and 
Wolfram, Philip
 and 
Bujack, Roxana
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-040-6},

DOI = {
10.2312/envirvis.20171105}

}

Browse

Recent Submissions

Now showing 1 - 11 of 11
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    EnVirVis 2017: Frontmatter
    (Eurographics Association, 2017) Rink, Karsten; Middel, Ariane; Zeckzer, Dirk; Bujack, Roxana;
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    Setting up Virtual Geographic Environments in Unity
    (The Eurographics Association, 2017) Rink, Karsten; Bilke, Lars; Kolditz, Olaf; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    We propose a setup for presenting complex heterogenous environmental data in a Virtual Reality environment. After a number of pre-processing steps required to integrate various data sets in a unified context, our workflow uses the Unity engine in combination with MiddleVR to create interactive applications for Virtual Reality environments to support research and evaluation for case studies containing domain-specific data from environmental monitoring and modelling. Typical challenges are described when handling such data in a graphics environment and solutions are proposed where possible. We give an overview of project structure and functionality added to Unity for visualisation of and interaction with the data and present an example application.
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    Visual Characterisation of Temporal Occupancy for Movement Ecology
    (The Eurographics Association, 2017) Slingsby, Aidan; Loon, Emiel van; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    Movement ecologists study aspects of animals' movement, behaviour, and the factors that might drive these. Temporal patterns of local occupancy often reveal the type of usage at a location. We present and apply temporal tile-maps that embed temporal visual encodings into cartographic representations, and do so in an interactive visual analysis context. This reveals spatial variation in temporal occupancy that allows places to be identified and distinguished according to their use by animals. We apply these to GPS data from tracking gulls and illustrate the application to movement ecology. The tool that implements this and data are available to download and use.
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    An InteractiveWeb-based Doppler Wind Lidar Visualisation System
    (The Eurographics Association, 2017) Jerome, Nicholas Tan; Chilingaryan, Suren; Kopmann, Andreas; Wieser, Andreas; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    With Doppler wind lidar producing significant amounts of data, providing means to extract relevant information from the data that describes atmospheric phenomena such as rain and low-level clouds is of vital importance. However, a Doppler wind lidar with a 10 Hz sampling rate produces large-scale of data at approximately ten million data items per day; therefore, introducing challenges in perceptual and interactive scalability. We present an interactive web-based visualisation system that provides summary displays of the heterogeneous lidar data. Our system applies the client-server paradigm, where our server extracts information and encodes primary lidar attributes into image's colour channels. Then, we load these encoded images and show lidar data in multiple forms at the client-side. In contrast to script-based tools such as Matlab and Ferret, our system allows researchers to begin analysing the extensive data using a more top-down methodological approach. In particular, we implemented features like zooming, multivariate filtering, and hourly variance heat map, in which GPU shaders filter data according to specific attributes. With the encoded images readily stored at the server, researchers can browse through the vast amounts of data interactively.
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    Visual Study of the Benguela Upwelling System using Pathline Predicates
    (The Eurographics Association, 2017) Nardini, Pascal; Böttinger, Michael; Scheuermann, Gerik; Schmidt, Martin; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    Due to the nutrient-rich water transported to the upper layer of the ocean, coastal upwelling systems are regions especially important for marine life and fishery. In this work, we focus on a visual analysis of the spatio-temporal structure of the Benguela upwelling system using pathline predicates. Based on the 3D flow field from an ocean model simulation, we first derive space- filling trajectories covering the full model grid. From these, we select and visualize pathlines related to upwelling. In a second step, we derive a 3D scalar field representing the pathline density, which is visualized using volume rendering techniques. Further analyses of the pathlines show a distinct annual cycle in the upwelling activity, which fits well to observation-based analyses found in literature.
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    Visual Eddy Analysis of the Agulhas Current
    (The Eurographics Association, 2017) Raith, Felix; Röber, Niklas; Haak, Helmuth; Scheuermann, Gerik; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    Large mesoscale eddies in the ocean can transport a substantial amount of heat and salt over large distances. Using highresolution ICON ocean simulation data, it is possible to detect and track eddies in the ocean and analyze their pathway. In this paper, we focus on the area of the Agulhas Current at the southern tip of Africa and present our results for eddy detection and eddy tracking. The Agulhas Current transports warm and salty water from the Indian Ocean towards the South Atlantic Ocean before it makes a strong turn back into the Indian Ocean. Some eddies associated with this current do not follow this turn back into the Indian Ocean, but travel north-west deeper up the Atlantic. We show how such eddies can be detected and tracked in the ICON model and how far some of them travel over the duration of one year. We also indicate which types of eddies follow these paths and give a visual analysis of eddy properties like volume and temperature.
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    Multivariate Visualization of Oceanography Data Using Decals
    (The Eurographics Association, 2017) Rocha, Allan; Silva, Julio Daniel; Alim, Usman; Sousa, Mario Costa; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    In this paper, we present our results on the 2016 Compute Canada Visualization Contest, which centers around the visualization of multiple oceanographic data attributes. Our goal is to help researchers better understand the correlation between these attributes by providing an integrated data visualization. To accomplish this goal, we combine decals and colormaps in a layered fashion over temperature isosurfaces extracted from an oceanography model. We describe how decals can be deformed and animated over isosurfaces to convey the sense of flow given by the ocean currents. Our visualization design focuses on addressing requirements from experts, tailored for such datasets. The results highlight the potential of our approach towards accessing the tridimensional multivariate nature of such complex data.
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    STOAViz: Visualizing Saturated Thickness of Ogallala Aquifer
    (The Eurographics Association, 2017) Dang, Tommy; Nguyen, Long Hoang; Karim, Abdullah; Uddameri, Venki; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    In this paper, we introduce STOAViz, a visual analytics tool for analyzing the saturated thickness of the Ogallala aquifer. The saturated thicknesses are monitored by sensors integrated on wells distributed on a vast geographic area. Our analytics application also captures the trends and patterns (such as average/standard deviation over time, sudden increase/decrease of saturated thicknesses) of water on an individual well and a group of wells based on their geographic locations. To highlight the usefulness and effectiveness of STOAViz, we demonstrate it on the Southern High Plains Aquifer of Texas. The work was developed using feedback from experts at the water resource center at a university. Moreover, our technique can be applied on any geographic areas where wells and their measurements are available.
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    Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments
    (The Eurographics Association, 2017) Banesh, Divya; Schoonover, Joseph A.; Ahrens, James P.; Hamann, Bernd; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    We introduce a system to extract and track mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data processing. The Cinema database [CD] enables the generation and storage of two-dimensional image data taken in-situ, i.e., the creation of images via a virtual camera generating images during the ongoing simulation. The problem of eddy extraction and tracking is simplified by our approach to the problem of finding, matching and tracking eddies in two-dimensional images, thus eliminating the task of processing the original three-dimensional data set. Our system can be used on a simple desktop computer and provides an intuitive interface allowing a scientist to perform an eddy analysis for global ocean data in real-time. We demonstrate the effectiveness of our implementation for a specific simulated data set.
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    Video Compression for Ocean Simulation Image Databases
    (The Eurographics Association, 2017) Berres, Anne S.; Turton, Terece L.; Petersen, Mark; Rogers, David H.; Ahrens, James P.; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    Climate research requires monitoring a large range of spatial and temporal scales to understand the climate system and potential future impacts. Climate simulations are now run with very high resolution (1-10 km gridcells) ocean, sea ice, and atmosphere components, and can easily produce petabytes of output. This overloads storage systems and hinders visualization and analysis. Image databases can decrease storage sizes from petabytes of simulation output down to several hundred gigabytes of images. In this paper, we introduce video compression as a method to further decrease database sizes by 2-4 orders of magnitude. We compare compression and access speeds, compressed sizes, and compression quality over a range of settings. Quality is assessed through image quality metrics and expert feedback. Overall, we were able to show that video compression techniques provide an efficient means of storing image databases at a shareable size, while preserving image quality. This enables the wise use of available disk space, so scientists can more easily study the physical features of interest.
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    Intuitive Colormaps for Environmental Visualization
    (The Eurographics Association, 2017) Samsel, Francesca; Turton, Terece L.; Wolfram, Philip; Bujack, Roxana; Karsten Rink and Ariane Middel and Dirk Zeckzer and Roxana Bujack
    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 association to the generation of thematic colormaps for the environmental sciences. In particular, we provide custom sets of colorscales 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.