Procedural shape generation for multi-dimensional data visualization

Ebert, David S.; Rohrer, Randall M.; Shaw, Chris; Panda, Pradyut; Kukla, James M.; Roberts, Daniel A.

doi:10.1016/s0097-8493(00)00033-9

Cited by 33 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variance is then used to weight the parameter β in Equation 4 such that given the data magnitude at the current time K cur , we compute the ratio of variance at the current time,σ as shown in Equation 9. As such, the parameter t in Equation 4 can be detailed as shown in Equation 10 to represent the length of bristle lines with respect to temporal variance. Here, we clearly see that our bristle map can encode the temporal variance and create an uncertainty aesthetic using the variance component.…”

Section: Encoding Data Variancementioning

confidence: 99%

“…Moreover, many techniques have been developed to visually encode multiple data attributes/variables for each data sample to enable interactive analysis, ranging from discrete glyph attribute encoding [4] to more spatially continuous color, transparency, and shading encodings [5][6][7]. As the number of visualized variables increases, the amount of information that can be effectively displayed becomes limited due to over-plotting and cluttering [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bristle Maps: A Multivariate Abstraction Technique for Geovisualization

Kim

Maciejewski²,

Malik³

et al. 2013

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Abstract-We present Bristle Maps, a novel method for the aggregation, abstraction, and stylization of spatio-temporal data that enables multi-attribute visualization, exploration, and analysis. This visualization technique supports the display of multidimensional data by providing users with a multi-parameter encoding scheme within a single visual encoding paradigm. Given a set of geographically located spatio-temporal events, we approximate the data as a continuous function using kernel density estimation. The density estimation encodes the probability that an event will occur within the space over a given temporal aggregation. These probability values, for one or more set of events, are then encoded into a bristle map. A bristle map consists of a series of straight lines that extend from, and are connected to, linear map elements such as roads, train, subway lines, etc. These lines vary in length, density, color, orientation, and transparency-creating the multivariate attribute encoding scheme where event magnitude, change, and uncertainty can be mapped as various bristle parameters. This approach increases the amount of information displayed in a single plot and allows for unique designs for various information schemes. We show the application of our bristle map encoding scheme using categorical spatio-temporal police reports. Our examples demonstrate the use of our technique for visualizing data magnitude, variable comparisons, and a variety of multivariate attribute combinations. To evaluate the effectiveness of our bristle map, we have conducted quantitative and qualitative evaluations in which we compare our bristle map to conventional geovisualization techniques. Our results show that bristle maps are competitive in completion time and accuracy of tasks with various levels of complexity.

show abstract

Section: Encoding Data Variancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bristle Maps: A Multivariate Abstraction Technique for Geovisualization

Kim

Maciejewski²,

Malik³

et al. 2013

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…Ebert et al studied glyph usage for multi-dimensional data visualization, primarily by discussing the different ways of varying shape to convey different scalar values 18. They propose varying color, size, shape, and opacity along separate scalar components.…”

Section: Related Workmentioning

confidence: 99%

Linked exploratory visualizations for uncertain MR spectroscopy data

et al. 2010

View full text Add to dashboard Cite

We present a system for visualizing magnetic resonance spectroscopy (MRS) data sets. Using MRS, radiologists generate multiple 3D scalar fields of metabolite concentrations within the brain and compare them to anatomical magnetic resonance imaging. By understanding the relationship between metabolic makeup and anatomical structure, radiologists hope to better diagnose and treat tumors and lesions. Our system consists of three linked visualizations: a spatial glyph-based technique we call Scaled Data-Driven Spheres, a parallel coordinates visualization augmented to incorporate uncertainty in the data, and a slice plane for accurate data value extraction. The parallel coordinates visualization uses specialized brush interactions designed to help users identify nontrivial linear relationships between scalar fields. We describe two novel contributions to parallel coordinates visualizations: linear function brushing and new axis construction. Users have discovered significant relationships among metabolites and anatomy by linking interactions between the three visualizations.

show abstract

“…An important issue in glyph visualization is the comprehensibility of such markers—how accurately do they communicate tensor characteristics? Ebert and others have investigated superquadric glyphs for general high dimension visualization [ERS*00, SEK*98]; but that study leaves open the question of the effectiveness of established tensor glyphs. In this work, we report the results of an empirical study to address that question, using nematic liquid crystal alignment tensors as basis.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Glyph Perception for Real Symmetric Traceless Tensor Properties

Jankun-Kelly

Lanka

Swan

2010

Computer Graphics Forum

View full text Add to dashboard Cite

A perceptual study of four tensor glyphs for symmetric, real, traceless tensors was performed. Each glyph encodes three properties of the system: Orientation, uniaxiality (alignment along the direction of orientation), and biaxiality (alignment along a vector orthogonal to the orientation). Thirty users over two studies were asked to identify these three properties for each glyph type under a variety of permutations in order to evaluate the effectiveness of visually communicating the properties; response time was also measured. We discuss the significant differences found between the methods as guidance to the use of these glyphs for traceless tensor visualization.

show abstract

Procedural shape generation for multi-dimensional data visualization

Cited by 33 publications

References 6 publications

Bristle Maps: A Multivariate Abstraction Technique for Geovisualization

Bristle Maps: A Multivariate Abstraction Technique for Geovisualization

Linked exploratory visualizations for uncertain MR spectroscopy data

An Evaluation of Glyph Perception for Real Symmetric Traceless Tensor Properties

Contact Info

Product

Resources

About