Feature Driven Combination of Animated Vector Field Visualizations

Lobo, María; Telea, Alexandru; Hurter, Christophe

doi:10.1111/cgf.13992

Cited by 3 publications

(2 citation statements)

References 52 publications

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“…Climate data visualization mostly exists to validate and communicate about simulation results, and especially about air temperature profiles, dynamic wind representation [13] or possible air corridors [4], with the expectations to validate input/output data and models characteristics. Many representation types are used, most of all as vertical and horizontal cross-sections, long time series spatialized data [12] or global trends into long time series [8].…”

Section: Climate Data Visualizationmentioning

confidence: 99%

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Gautier

Brédif

Christophe

2020

2020 IEEE Visualization Conference (VIS)

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Urban climate data remain complex to analyze regarding their spatial distribution. The co-visualization of simulated air temperature into urban models could help experts to analyze horizontal and vertical spatial distributions. We design a co-visualization framework enabling simulated air temperature data exploration, based on the graphic representation of three types of geometric proxies, and their co-visualization with a 3D urban model with various possible rendering styles. Through this framework, we aim at allowing meteorological researchers to visually analyze and interpret the relationships between simulated air temperature data and urban morphology.

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Section: Climate Data Visualizationmentioning

confidence: 99%

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Gautier

Brédif

Christophe

2020

2020 IEEE Visualization Conference (VIS)

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“…The particle system can be regarded as a variant of the geometric method, where a set of particles are placed and advected over time. Each particle has a position, velocity, certain lifetime and other properties [9]; When a particle exceeds its lifetime, stops moving, or exits the dataset domain, a new particle is reseeded in a random position [10]. Due to attractive effects (creating high-contrast images and finite clutter), it has been widely used in the numerical simulation and expression of vector fields [11].…”

Section: Introductionmentioning

confidence: 99%

Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

Shi

Wen³

et al. 2021

IJGI

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In three-dimensional (3D) digital Earth environment, there are many problems when using the existing methods to express the ocean current, such as uneven distribution of seed points, density leap in scale change and messy visualization. In this paper, a new dynamic visualization method of multi-hierarchy flow field based on particle system is proposed; Specifically, three typical spherical uniform algorithms are studied and compared, and the streamline becoming denser from the equator to the poles on globe is eliminated by placing seed points using Marsaglia polar method as the most efficient. In addition, a viewport-adaptive adjustment algorithm is proposed, which realizes that the density of particles is always suitable to any viewing distance during continuous zooming. To solve the visual representation deficiency, we design a new dynamic pattern to enhance the expression and perception of current, which makes up for the shortcoming of the arrow glyph and streamline methods. Finally, a prototype of GPU parallel and viewport coherence is achieved, whose feasibility and effectiveness are verified by a series of experiments. The results show that our method can not only represent ocean current data clearly and efficiently, but also has outstanding uniformity and hierarchy effect.

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The Concept of Processing, Analysis and Visualization of Geophysical Data Based on Elements of Tensor Calculus

Vorobeva,

Vorobev,

Orlov

2024

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One of the main approaches to processing, analysis and visualization of geophysical data is the use of geographic information systems and technologies, which is due to their geospatial reference. At the same time, the complexity of presenting geophysical data is associated with their complex structure, which involves many components that have the same geospatial reference. Vivid examples of data of such a structure and format are gravitational and geomagnetic fields, which in the general case are specified by three and four-component vectors with multidirectional coordinate axes. At the same time, today there are no solutions that allow visualizing these data in a complex without decomposing them into individual scalar values, which, in turn, can be presented in the form of one or many spatial layers. In this regard, the work proposes a concept that uses elements of tensor calculus for processing, storing and visualizing information of this format. In particular, a mechanism for tensor representation of field components has been formalized with the possibility of combining it with other data of the same format, on the one hand, and convolution when combined with data of a lower rank. Using the example of a hybrid relational-hierarchical data model, a mechanism for storing information on tensor fields is proposed, which provides for the possibility of describing and subsequently applying transformation instructions when transitioning between different coordinate systems. The paper discusses the use of this approach in the transition from the Cartesian to the spherical coordinate system when representing the parameters of the geomagnetic field. For complex visualization of tensor field parameters, an approach based on the use of tensor glyphs is proposed. The latter are superellipses with axes corresponding to the rank of the tensor. In this case, the attribute values themselves are proposed to be visualized relative to the corresponding axes of the graphic primitive in such a way that the data distribution can be specified by varying the gradient of the corresponding monochrome representation of the parameter along the corresponding axis. The performance of the proposed concept was investigated during a comparative analysis of the tensor approach with known solutions based on the scalar decomposition of the corresponding complex values with their subsequent representation in the form of one or many spatial layers. The analysis showed that the use of the proposed approach will significantly increase the visibility of the generated geospatial image without the need for complex overlapping of spatial layers.

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Feature Driven Combination of Animated Vector Field Visualizations

Cited by 3 publications

References 52 publications

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Co-Visualization of Air Temperature and Urban Data for Visual Exploration

Particle System-Based Multi-Hierarchy Dynamic Visualization of Ocean Current Data

The Concept of Processing, Analysis and Visualization of Geophysical Data Based on Elements of Tensor Calculus

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