Illustrative Multivariate Visualization for Geological Modelling

Rocha, Alessandro Rodrigues; Mota, Roberta Cabral; Hamdi, Hamidreza; Alim, Usman R.; Sousa, Mário Costa

doi:10.1111/cgf.13434

Cited by 10 publications

(7 citation statements)

References 37 publications

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“…There has been a growing effort on bringing concepts from information visualization to scientific visualization. We have also added to these efforts by emphasizing the importance of the design process in multivariate visualization, extending the concept of layering on surfaces [13], [20], [22], [23], and introducing to Scientific Visualization an interaction technique inspired by the magic lenses concept that is well established in information visualization [20].…”

Section: Discussionmentioning

confidence: 99%

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Visualization of Multivariate Data on Surfaces

Rocha¹,

Alim²,

Sousa³

2020

Anais Estendidos Da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)

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This research builds upon ideas introduced and discussed many years ago that focus on the problem of visualizing multiple attributes on surfaces in a single view. Here we present a new perspective to this problem as well as a solution that allows us to design, visualize and interact with multivariate data on surfaces. Building upon multidisciplinary aspects, we present a new way to visualize multivariate data on surfaces by exploiting the concept of layering. First, we introduce a new real-time rendering technique and the concept of Decal-Maps, which fills a gap in the literature and allow us to create 2D visual representations such as glyphs that follow the surface geometry. Building on this technique, we propose the layering framework to facilitate the multivariate visualization design on surfaces. The use of this concept and framework allows us to connect and generalize concepts established in flat space, such as 2D maps, to arbitrary surfaces. Decal-maps opens up other new possibilities such as the use of interaction techniques. Here we demonstrate this potential by introducing a new interaction technique that allows us to explore multivariate data and to create customized focus+context visualizations on surfaces. This is achieved by introducing a new category of lenses, Decal-Lenses, which extends the concept of magic-lenses from flat space to general surfaces. Finally, this thesis showcases the process of multivariate visual design and data exploration through a series of examples from several domains such as Medicine and Geology.

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Section: Discussionmentioning

confidence: 99%

“…In [22] we proposed a multivariate visualization over isosurfaces extracted from oceanography data. In [23], we proposed a novel illustrative multivariate visualization for geological modelling. Supplementary video material for both applications can be accessed here 4 .…”

Section: Demonstration Examples and Applicationsmentioning

confidence: 99%

Visualization of Multivariate Data on Surfaces

Rocha¹,

Alim²,

Sousa³

2020

Anais Estendidos Da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)

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“…There has been growing effort on bringing concepts from information visualization to scientific visualization. On surfaces for example, we cite the use of 2D glyphs and the details-on-demand paradigm for medical visualization [6], [7], and the extension and application of the concept of layering using decal-maps [9], [10], [11]. Our work builds on these concepts by introducing to scientific visualization an interaction technique inspired by the magic lenses concept that is well established in information visualization.…”

Section: Discussionmentioning

confidence: 99%

“…Rock Permeability is a tensor that indicates the ability of a medium to support fluid flow. For simplicity, geologists and reservoir engineers represent permeability as a diagonal 3 × 3 matrix [11]. We average permeability as k ind = (k 2…”

Section: Fluid Flow and Petro-properties In Oil Recoverymentioning

confidence: 99%

“…Rocha et al drew upon concepts from painting [8] and extended the concept of layering to surfaces thus introducing decals and decal-maps for multivariate visualization design [9]. Their technique allows creating a layered visualization of multiple attributes on arbitrary surfaces by combining decals, decal-maps and colormaps [9], [10], [11]. These efforts signify the possible direction in which the visualization of multiple attributes on surfaces can evolve.…”

Section: Introductionmentioning

confidence: 99%

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Decal-Lenses: Interactive Lenses on Surfaces for Multivariate Visualization

Rocha

Silva

Alim

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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We present decal-lenses, a new interaction technique that extends the concept of magic lenses to augment and manage multivariate visualizations on arbitrary surfaces. Our object-space lenses follow the surface geometry and allow the user to change the point of view during data exploration while maintaining a spatial reference to positions where one or more lenses were placed. Each lens delimits specific regions of the surface where one or more attributes can be selected or combined. Similar to 2D lenses, the user interacts with our lenses in real-time, switching between different attributes within the lens context. The user can also visualize the surface data representations from the point of view of each lens by using local cameras. To place lenses on surfaces of intricate geometry, such as the human brain, we introduce the concept of support surfaces for designing interaction techniques. Support surfaces provide a way to place and interact with the lenses while avoiding holes and occluded regions during data exploration. We further extend decal-lenses to arbitrary regions using brushing and lassoing operations. We discuss the applicability of our technique and present several examples where our lenses can be useful to create a customized exploration of multivariate data on surfaces.

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